{"id":"W4232114440","doi":"10.1515/iupac.78.0319","title":"Genotoxic","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Carcinogens and Genotoxicity Assessment","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Glossary; Chemical nomenclature; Relation (database); Computer science; Pesticide; Management science; Data science; Chemistry; Ecology; Engineering; Biology; Data mining","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00115872,0.001799996,0.001770204,0.005261995,0.0008233493,0.002225982,0.002723388,0.001785286,0.09993586],"category_scores_gemma":[0.007560557,0.0005793201,0.001655521,0.007398769,0.0004076471,0.001750401,0.001927192,0.001854212,0.06349258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002095928,"about_ca_system_score_gemma":0.003188916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01999077,"about_ca_topic_score_gemma":0.0469399,"domain_scores_codex":[0.998521,0.0002086864,0.0002721228,0.0004477446,0.000430607,0.0001198051],"domain_scores_gemma":[0.9966308,0.00104492,0.0006507916,0.0006029613,0.0008832745,0.0001871977],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001894376,0.00003146004,0.002863702,0.005926604,0.00008777062,0.00006659125,0.00004604607,0.0004614698,0.0004125115,0.001277596,0.9757162,0.01292054],"study_design_scores_gemma":[0.0001275716,0.00001990748,0.004888697,0.001181514,0.00007596595,0.0001201205,0.00003700972,0.000131939,0.0003306946,0.00135952,0.9917037,0.00002332491],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001120445,0.0003457251,0.00008441508,0.00006160603,0.00001635398,0.00001508777,0.9980832,0.0001254739,0.001156071],"genre_scores_gemma":[0.0004660949,0.0003933418,0.0003778735,0.0001432203,0.000007033408,0.00009466546,0.9973831,0.00004803964,0.001086702],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09993586,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01007094039246055,"score_gpt":0.3820585165339168,"score_spread":0.3719875761414562,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}