{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,20]],"date-time":"2026-09-20T18:34:37Z","timestamp":1789929277861,"version":"4.0.1"},"reference-count":77,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2016,10,1]],"date-time":"2016-10-01T00:00:00Z","timestamp":1475280000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2016,8,4]],"date-time":"2016-08-04T00:00:00Z","timestamp":1470268800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Toxicology in Vitro"],"published-print":{"date-parts":[[2016,10]]},"DOI":"10.1016\/j.tiv.2016.07.014","type":"journal-article","created":{"date-parts":[[2016,7,24]],"date-time":"2016-07-24T12:38:21Z","timestamp":1469363901000},"page":"197-209","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":54,"special_numbering":"C","title":["Consensus of classification trees for skin sensitisation hazard prediction"],"prefix":"10.1016","volume":"36","author":[{"given":"D.","family":"Asturiol","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"S.","family":"Casati","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"A.","family":"Worth","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.tiv.2016.07.014_bb0005","doi-asserted-by":"crossref","first-page":"262","DOI":"10.1016\/j.taap.2014.12.014","article-title":"Predicting chemically-induced skin reactions. Part I: QSAR models of skin sensitization and their application to identify potentially hazardous compounds","volume":"284","author":"Alves","year":"2015","journal-title":"Toxicol. Appl. Pharmacol."},{"key":"10.1016\/j.tiv.2016.07.014_bb0010","doi-asserted-by":"crossref","first-page":"1420","DOI":"10.1021\/tx050075m","article-title":"Skin sensitization: reaction mechanistic applicability domains for structure\u2013activity relationships","volume":"18","author":"Aptula","year":"2005","journal-title":"Chem. Res. Toxicol."},{"key":"10.1016\/j.tiv.2016.07.014_bb0015","doi-asserted-by":"crossref","first-page":"767","DOI":"10.1016\/j.tiv.2005.10.012","article-title":"Development of an in vitro skin sensitization test using human cell lines: the human Cell Line Activation Test (h-CLAT): I. Optimization of the h-CLAT protocol","volume":"20","author":"Ashikaga","year":"2006","journal-title":"Toxicol. in Vitro"},{"key":"10.1016\/j.tiv.2016.07.014_bb0020","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1097\/DER.0000000000000003","article-title":"Categorization of chemicals according to their relative human skin sensitizing potency","volume":"25","author":"Basketter","year":"2014","journal-title":"Dermatitis"},{"key":"10.1016\/j.tiv.2016.07.014_bb0025","doi-asserted-by":"crossref","first-page":"489","DOI":"10.1016\/j.yrtph.2012.05.013","article-title":"Putting the parts together: combining in vitro methods to test for skin sensitizing potentials","volume":"63","author":"Bauch","year":"2012","journal-title":"Regul. Toxicol. Pharmacol."},{"key":"10.1016\/j.tiv.2016.07.014_bb0030","series-title":"Studies in Classification, Data Analysis, and Knowledge Organization (GfKL 2007)","article-title":"{KNIME}: The {k}onstanz {i}nformation {m}iner","author":"Berthold","year":"2007"},{"key":"10.1016\/j.tiv.2016.07.014_bb0035","doi-asserted-by":"crossref","first-page":"682","DOI":"10.1021\/ci015504a","article-title":"Structure\/response correlations and similarity\/diversity analysis by GETAWAY descriptors. 1. Theory of the novel 3D molecular descriptors","volume":"42","author":"Consonni","year":"2002","journal-title":"J. Chem. Inf. Comput. Sci."},{"key":"10.1016\/j.tiv.2016.07.014_bb0040","doi-asserted-by":"crossref","first-page":"693","DOI":"10.1021\/ci0155053","article-title":"Structure\/response correlations and similarity\/diversity analysis by GETAWAY descriptors. 2. Application of the novel 3D molecular descriptors to QSAR\/QSPR S tudies","volume":"42","author":"Consonni","year":"2002","journal-title":"J. Chem. Inf. Comput. Sci."},{"key":"10.1016\/j.tiv.2016.07.014_bb0045","doi-asserted-by":"crossref","first-page":"87","DOI":"10.1038\/bjc.1979.10","article-title":"Describing the validity of carcinogen screening tests","volume":"39","author":"Cooper","year":"1979","journal-title":"Br. J. Cancer"},{"key":"10.1016\/j.tiv.2016.07.014_bb0050","doi-asserted-by":"crossref","first-page":"194","DOI":"10.1016\/j.jmgm.2014.10.006","article-title":"3D-MoRSE descriptors explained","volume":"54","author":"Devinyak","year":"2014","journal-title":"J. Mol. Graph. Model."},{"key":"10.1016\/j.tiv.2016.07.014_bb0055","doi-asserted-by":"crossref","first-page":"839","DOI":"10.1021\/ci0500381","article-title":"A stepwise approach for defining the applicability domain of SAR and QSAR models","volume":"45","author":"Dimitrov","year":"2005","journal-title":"J. Chem. Inf. Model."},{"key":"10.1016\/j.tiv.2016.07.014_bb0060","doi-asserted-by":"crossref","first-page":"189","DOI":"10.1080\/10915810591000631","article-title":"Skin sensitization: modeling based on skin metabolism simulation and formation of protein conjugates","volume":"24","author":"Dimitrov","year":"2005","journal-title":"Int. J. Toxicol."},{"key":"10.1016\/j.tiv.2016.07.014_bb0065","doi-asserted-by":"crossref","first-page":"220","DOI":"10.1016\/j.tiv.2016.04.008","article-title":"Analysis of the local lymph node assay (LLNA) variability for assessing the prediction of skin sensitisation potential and potency of chemicals with non-animal approaches","volume":"34","author":"Dumont","year":"2016","journal-title":"Toxicol. in Vitro"},{"key":"10.1016\/j.tiv.2016.07.014_bb0070","series-title":"REACH Regulation (1907\/2006\/EC): Authorisation and Restriction of Chemicals (REACH), Establishing a European Chemicals Agency, Amending Directive 1999","author":"EC","year":"2006"},{"key":"10.1016\/j.tiv.2016.07.014_bb0075","series-title":"EU Cosmetic Products Regulation (1223\/2009\/EC)","author":"EC","year":"2009"},{"key":"10.1016\/j.tiv.2016.07.014_bb0080","doi-asserted-by":"crossref","first-page":"281","DOI":"10.1016\/j.taap.2010.03.009","article-title":"Performance of a novel keratinocyte-based reporter cell line to screen skin sensitizers in vitro","volume":"245","author":"Emter","year":"2010","journal-title":"Toxicol. Appl. Pharmacol."},{"key":"10.1016\/j.tiv.2016.07.014_bb0085","doi-asserted-by":"crossref","first-page":"783","DOI":"10.3109\/10408444.2011.598141","article-title":"A review of the electrophilic reaction chemistry involved in covalent protein binding relevant to toxicity","volume":"41","author":"Enoch","year":"2011","journal-title":"Crit. Rev. Toxicol."},{"key":"10.1016\/j.tiv.2016.07.014_bb0090","series-title":"Recommendation on the Direct Peptide Reactivity Assay (DPRA) for Skin Sensitisation Testing","author":"EURL ECVAM","year":"2013"},{"key":"10.1016\/j.tiv.2016.07.014_bb0095","series-title":"Recommendation on the KeratinoSensTM Assay for Skin Sensitisation Testing","author":"EURL ECVAM","year":"2014"},{"key":"10.1016\/j.tiv.2016.07.014_bb0100","series-title":"Recommendation on the Human Cell Line Activation Test (h-CLAT) for Skin Sensitisation Testing","author":"EURL ECVAM","year":"2015"},{"key":"10.1016\/j.tiv.2016.07.014_bb0105","series-title":"Direct Peptide Reactivity Assay (DPRA) ECVAM Validation Study Report","author":"EURL-ECVAM","year":"2012"},{"key":"10.1016\/j.tiv.2016.07.014_bb0110","series-title":"KeratinoSens\u2122 Validation Study Reports","author":"EURL-ECVAM","year":"2014"},{"key":"10.1016\/j.tiv.2016.07.014_bb0115","series-title":"h-CLAT Validation Study Reports","author":"EURL-ECVAM","year":"2015"},{"key":"10.1016\/j.tiv.2016.07.014_bb0120","doi-asserted-by":"crossref","first-page":"332","DOI":"10.1093\/toxsci\/kfh213","article-title":"Development of a peptide reactivity assay for screening contact allergens","volume":"81","author":"Gerberick","year":"2004","journal-title":"Toxicol. Sci."},{"key":"10.1016\/j.tiv.2016.07.014_bb0125","doi-asserted-by":"crossref","first-page":"417","DOI":"10.1093\/toxsci\/kfm064","article-title":"Quantification of chemical peptide reactivity for screening contact allergens: a classification tree model approach","volume":"97","author":"Gerberick","year":"2007","journal-title":"Toxicol. Sci."},{"key":"10.1016\/j.tiv.2016.07.014_bb0130","series-title":"Genetic Algorithms in Search, Optimization and Machine Learning","author":"Goldberg","year":"1989"},{"key":"10.1016\/j.tiv.2016.07.014_bb0135","article-title":"Development of a multiparametric in vitro model of skin sensitization","volume":"48\u201358","author":"Guyard-Nicod\u00e8me","year":"2015","journal-title":"J. Appl. Toxicol."},{"key":"10.1016\/j.tiv.2016.07.014_bb0140","series-title":"Correlation-based Feature Subset Selection for Machine Learning","author":"Hall","year":"1998"},{"key":"10.1016\/j.tiv.2016.07.014_bb0145","series-title":"SIGKDD Explor","article-title":"The WEKA data mining software","volume":"11","author":"Hall","year":"2009"},{"key":"10.1016\/j.tiv.2016.07.014_bb0150","doi-asserted-by":"crossref","first-page":"1233","DOI":"10.1016\/j.tiv.2013.02.013","article-title":"Artificial neural network analysis of data from multiple in vitro assays for prediction of skin sensitization potency of chemicals","volume":"27","author":"Hirota","year":"2013","journal-title":"Toxicol. in Vitro"},{"key":"10.1016\/j.tiv.2016.07.014_bb0155","doi-asserted-by":"crossref","first-page":"1333","DOI":"10.1002\/jat.3105","article-title":"Evaluation of combinations of in vitro sensitization test descriptors for the artificial neural network-based risk assessment model of skin sensitization","author":"Hirota","year":"2015","journal-title":"J. Appl. Toxicol."},{"key":"10.1016\/j.tiv.2016.07.014_bb0160","series-title":"Toxtree","author":"Ideaconsult Ltd. on behalf of the JRC","year":"2005"},{"key":"10.1016\/j.tiv.2016.07.014_bb0165","series-title":"Vega","author":"Istituto di Ricerche Farmacologiche Mario Negri","year":"2013"},{"key":"10.1016\/j.tiv.2016.07.014_bb0170","series-title":"Graph Theoretical Matrices in Chemistry, Mathemat","author":"Jane\u017ei\u010d","year":"2007"},{"key":"10.1016\/j.tiv.2016.07.014_bb0175","doi-asserted-by":"crossref","first-page":"211","DOI":"10.14573\/altex.2011.3.211","article-title":"Integrating non-animal test information into an adaptive testing strategy \u2013 skin sensitization proof of concept case","volume":"28","author":"Jaworska","year":"2011","journal-title":"ALTEX"},{"key":"10.1016\/j.tiv.2016.07.014_bb0180","doi-asserted-by":"crossref","first-page":"1353","DOI":"10.1002\/jat.2869","article-title":"Bayesian integrated testing strategy to assess skin sensitization potency: from theory to practice","volume":"33","author":"Jaworska","year":"2013","journal-title":"J. Appl. Toxicol."},{"key":"10.1016\/j.tiv.2016.07.014_bb0185","doi-asserted-by":"crossref","first-page":"2355","DOI":"10.1007\/s00204-015-1634-2","article-title":"Bayesian integrated testing strategy (ITS) for skin sensitization potency assessment: a decision support system for quantitative weight of evidence and adaptive testing strategy","volume":"89","author":"Jaworska","year":"2015","journal-title":"Arch. Toxicol."},{"key":"10.1016\/j.tiv.2016.07.014_bb0190","doi-asserted-by":"crossref","first-page":"341","DOI":"10.1002\/jat.1146","article-title":"A future approach to measuring relative skin sensitising potency: a proposal","volume":"26","author":"Jowsey","year":"2006","journal-title":"J. Appl. Toxicol."},{"key":"10.1016\/j.tiv.2016.07.014_bb0195","doi-asserted-by":"crossref","first-page":"53","DOI":"10.1021\/tx7002239","article-title":"Allergic contact dermatitis-formation, structural requirements, and reactivity of skin sensitizers","volume":"21","author":"Karlberg","year":"2008","journal-title":"Chem. Res. Toxicol."},{"key":"10.1016\/j.tiv.2016.07.014_bb0200","series-title":"RDKit: Open-source Informatics","author":"Landrum","year":"2015"},{"key":"10.1016\/j.tiv.2016.07.014_bb0205","series-title":"Nexus","author":"LHASA","year":"2015"},{"key":"10.1016\/j.tiv.2016.07.014_bb0210","doi-asserted-by":"crossref","first-page":"473","DOI":"10.14573\/altex.2013.4.473","article-title":"From pathways to people: applying the adverse outcome pathway (AOP) for skin sensitization to risk assessment","volume":"30","author":"MacKay","year":"2013","journal-title":"ALTEX"},{"key":"10.1016\/j.tiv.2016.07.014_bb0215","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1016\/j.yrtph.2016.01.009","article-title":"Predicting skin sensitisation using a decision tree integrated testing strategy with an in silico model and in chemico\/in vitro assays","volume":"76","author":"Macmillan","year":"2016","journal-title":"Regul. Toxicol. Pharmacol."},{"key":"10.1016\/j.tiv.2016.07.014_bb0220","doi-asserted-by":"crossref","first-page":"2","DOI":"10.1111\/cod.12311","article-title":"New concepts in cutaneous allergy","volume":"72","author":"Martin","year":"2015","journal-title":"Contact Dermatitis"},{"key":"10.1016\/j.tiv.2016.07.014_bb0225","doi-asserted-by":"crossref","first-page":"1152","DOI":"10.1111\/j.1398-9995.2011.02652.x","article-title":"Mechanisms of chemical-induced innate immunity in allergic contact dermatitis","volume":"66","author":"Martin","year":"2011","journal-title":"Allergy"},{"key":"10.1016\/j.tiv.2016.07.014_bb0230","doi-asserted-by":"crossref","first-page":"1205","DOI":"10.4155\/fmc.10.194","article-title":"Per aspera ad astra: application of Simplex QSAR approach in antiviral research","volume":"2","author":"Muratov","year":"2010","journal-title":"Future Med. Chem."},{"key":"10.1016\/j.tiv.2016.07.014_bb0235","doi-asserted-by":"crossref","first-page":"110","DOI":"10.1093\/toxsci\/kfm259","article-title":"Skin sensitizers induce antioxidant response element dependent genes: application to the in vitro testing of the sensitization potential of chemicals","volume":"102","author":"Natsch","year":"2008","journal-title":"Toxicol. Sci."},{"key":"10.1016\/j.tiv.2016.07.014_bb0240","doi-asserted-by":"crossref","first-page":"106","DOI":"10.1093\/toxsci\/kfn204","article-title":"Filling the concept with data: integrating data from different in vitro and in silico assays on skin sensitizers to explore the battery approach for animal-free skin sensitization testing","volume":"107","author":"Natsch","year":"2009","journal-title":"Toxicol. Sci."},{"key":"10.1016\/j.tiv.2016.07.014_bb0245","doi-asserted-by":"crossref","first-page":"1337","DOI":"10.1002\/jat.2868","article-title":"A dataset on 145 chemicals tested in alternative assays for skin sensitization undergoing prevalidation","volume":"33","author":"Natsch","year":"2013","journal-title":"J. Appl. Toxicol."},{"key":"10.1016\/j.tiv.2016.07.014_bb0250","doi-asserted-by":"crossref","first-page":"319","DOI":"10.1093\/toxsci\/kfu229","article-title":"Predicting skin sensitizer potency based on in vitro data from KeratinoSens and kinetic peptide binding: global versus domain-based assessment","volume":"143","author":"Natsch","year":"2015","journal-title":"Toxicol. Sci."},{"key":"10.1016\/j.tiv.2016.07.014_bb0255","doi-asserted-by":"crossref","first-page":"609","DOI":"10.1016\/j.tiv.2012.11.006","article-title":"Data integration of non-animal tests for the development of a test battery to predict the skin sensitizing potential and potency of chemicals","volume":"27","author":"Nukada","year":"2013","journal-title":"Toxicol. in Vitro"},{"key":"10.1016\/j.tiv.2016.07.014_bb0260","first-page":"33","article-title":"Open Babel: an open chemical toolbox","volume":"3","author":"O'Boyle","year":"2011","journal-title":"J. Chem. Inf."},{"key":"10.1016\/j.tiv.2016.07.014_bb0265","series-title":"OECD Principles for the Validation, for Regulatory Purposes, of (Quantitative) Structure-Activity Relationships Models., OECD","author":"OECD","year":"2004"},{"key":"10.1016\/j.tiv.2016.07.014_bb0270","series-title":"The Adverse Outcome Pathway for Skin Sensitisation Initiated by Covalent Binding to Proteins. Part 1: Scientific Evidence. Ser. Test. Assessment, No. 168, ENV\/JM\/MONO(2012) 10 PART 1","author":"OECD","year":"2012"},{"key":"10.1016\/j.tiv.2016.07.014_bb0275","author":"OECD","year":"2012"},{"key":"10.1016\/j.tiv.2016.07.014_bb0280","series-title":"OECD QSAR Application Toolbox","author":"OECD","year":"2013"},{"key":"10.1016\/j.tiv.2016.07.014_bb0285","series-title":"OECD Guideline for Testing of Chemicals - Guideline 422C: In Chemico Skin Sensitisation Direct Peptide Reactivity Assay (DPRA)","author":"OECD","year":"2015"},{"key":"10.1016\/j.tiv.2016.07.014_bb0290","series-title":"OECD Guideline for Testing of Chemicals - Guideline 442D: In Vitro Skin Sensitisation: ARE-Nrf2 Luciferase Test","author":"OECD","year":"2015"},{"key":"10.1016\/j.tiv.2016.07.014_bb0295","series-title":"OECD Guidance Document on the Reporting of Defined Approaches to be Used Within Integrated Approaches to Testing and Assessment (No. ENV\/JM\/MONO(2016)28)","author":"OECD","year":"2016"},{"key":"10.1016\/j.tiv.2016.07.014_bb0300","series-title":"OECD Guidance Document on the Reporting of Defined Approaches and Individual Information Sources to be Used Within Integrated Approaches to Testing and Assessment (IATA) for Skin Sensitization (No. ENV\/JM\/MONO(2016)29)","author":"OECD","year":"2016"},{"key":"10.1016\/j.tiv.2016.07.014_bb0305","doi-asserted-by":"crossref","first-page":"367","DOI":"10.1080\/1062936X.2014.900520","article-title":"TIMES-SS \u2013 recent refinements resulting from an industrial skin sensitisation consortium","volume":"25","author":"Patlewicz","year":"2014","journal-title":"SAR QSAR Environ. Res."},{"key":"10.1016\/j.tiv.2016.07.014_bb0310","doi-asserted-by":"crossref","first-page":"427","DOI":"10.1007\/s00403-006-0714-9","article-title":"Prediction of preservative sensitization potential using surface marker CD86 and\/or CD54 expression on human cell line, THP-1","volume":"298","author":"Sakaguchi","year":"2006","journal-title":"Arch. Dermatol. Res."},{"key":"10.1016\/j.tiv.2016.07.014_bb0315","doi-asserted-by":"crossref","first-page":"235","DOI":"10.1007\/BF00993309","article-title":"C4.5: programs for machine learning by J. Ross Quinlan. Morgan Kaufmann Publishers, Inc., 1993","volume":"16","author":"Salzberg","year":"1994","journal-title":"Mach. Learn."},{"key":"10.1016\/j.tiv.2016.07.014_bb0320","series-title":"ADMET Predictor","author":"Simulations Plus, Inc., Lancaster, C.","year":"2014"},{"key":"10.1016\/j.tiv.2016.07.014_bb0325","doi-asserted-by":"crossref","DOI":"10.1002\/jat.3281","article-title":"Integrated decision strategies for skin sensitization hazard","author":"Strickland","year":"2016","journal-title":"J. Appl. Toxicol. n\/a\u2013n\/a"},{"key":"10.1016\/j.tiv.2016.07.014_bb0330","doi-asserted-by":"crossref","first-page":"599","DOI":"10.2131\/jts.38.599","article-title":"Predictive performance of the human Cell Line Activation Test (h-CLAT) for lipophilic chemicals with high octanol-water partition coefficients","volume":"38","author":"Takenouchi","year":"2013","journal-title":"J. Toxicol. Sci."},{"key":"10.1016\/j.tiv.2016.07.014_bb0335","doi-asserted-by":"crossref","first-page":"1318","DOI":"10.1002\/jat.3127","article-title":"Test battery with the human cell line activation test, direct peptide reactivity assay and DEREK based on a 139 chemical data set for predicting skin sensitizing potential and potency of chemicals","author":"Takenouchi","year":"2015","journal-title":"J. Appl. Toxicol."},{"key":"10.1016\/j.tiv.2016.07.014_bb0340","series-title":"DRAGON (Software for Molecular Descriptor Calculation)","author":"Talete Srl","year":"2010"},{"key":"10.1016\/j.tiv.2016.07.014_bb0345","doi-asserted-by":"crossref","first-page":"468","DOI":"10.1016\/j.yrtph.2013.09.007","article-title":"Computer models versus reality: how well do in silico models currently predict the sensitization potential of a substance","volume":"67","author":"Teubner","year":"2013","journal-title":"Regul. Toxicol. Pharmacol."},{"key":"10.1016\/j.tiv.2016.07.014_bb0350","series-title":"Quant. Struct. Relationships","first-page":"113","article-title":"3D-modelling and prediction by WHIM descriptors. Part 5. Theory development and chemical meaning of WHIM descriptors","volume":"16","author":"Todeschini","year":"1997"},{"key":"10.1016\/j.tiv.2016.07.014_bb0355","doi-asserted-by":"crossref","first-page":"263","DOI":"10.1002\/cem.1180080405","article-title":"New molecular descriptors for 2D and 3D structures","volume":"8","author":"Todeschini","year":"1994","journal-title":"Theory. J. Chemom."},{"key":"10.1016\/j.tiv.2016.07.014_bb0360","doi-asserted-by":"crossref","first-page":"525","DOI":"10.1021\/ci020058s","article-title":"Decision forest: combining the predictions of multiple independent decision tree models","volume":"43","author":"Tong","year":"2003","journal-title":"J. Chem. Inf. Comput. Sci."},{"key":"10.1016\/j.tiv.2016.07.014_bb0365","doi-asserted-by":"crossref","first-page":"195","DOI":"10.2174\/1573409053585663","article-title":"Assessing QSAR limitations - a regulatory perspective","volume":"1","author":"Tong","year":"2005","journal-title":"Curr. Comput. Aided Drug Des."},{"key":"10.1016\/j.tiv.2016.07.014_bb0370","doi-asserted-by":"crossref","first-page":"626","DOI":"10.1016\/j.tiv.2014.01.003","article-title":"Skin sensitization risk assessment model using artificial neural network analysis of data from multiple in vitro assays","volume":"28","author":"Tsujita-Inoue","year":"2014","journal-title":"Toxicol. in Vitro"},{"key":"10.1016\/j.tiv.2016.07.014_bb0375","doi-asserted-by":"crossref","first-page":"337","DOI":"10.1016\/j.yrtph.2014.12.008","article-title":"Assessing skin sensitization hazard in mice and men using non-animal test methods","volume":"71","author":"Urbisch","year":"2015","journal-title":"Regul. Toxicol. Pharmacol."},{"key":"10.1016\/j.tiv.2016.07.014_bb0380","doi-asserted-by":"crossref","first-page":"371","DOI":"10.1016\/j.yrtph.2014.04.018","article-title":"Evaluating the performance of integrated approaches for hazard identification of skin sensitizing chemicals","volume":"69","author":"van der Veen","year":"2014","journal-title":"Regul. Toxicol. Pharmacol."},{"key":"10.1016\/j.tiv.2016.07.014_bb0385","series-title":"Data Mining: Practical Machine Learning Tools and Techniques","author":"Witten","year":"2005"}],"container-title":["Toxicology in Vitro"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0887233316301436?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0887233316301436?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2024,6,18]],"date-time":"2024-06-18T11:53:49Z","timestamp":1718711629000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0887233316301436"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,10]]},"references-count":77,"alternative-id":["S0887233316301436"],"URL":"https:\/\/doi.org\/10.1016\/j.tiv.2016.07.014","relation":{},"ISSN":["0887-2333"],"issn-type":[{"value":"0887-2333","type":"print"}],"subject":[],"published":{"date-parts":[[2016,10]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Consensus of classification trees for skin sensitisation hazard prediction","name":"articletitle","label":"Article Title"},{"value":"Toxicology in Vitro","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.tiv.2016.07.014","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2016 The Authors. Published by Elsevier Ltd.","name":"copyright","label":"Copyright"}]}}