{"id":"W4236340718","doi":"10.1515/iupac.79.1332","title":"Genotoxic","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Chemical Safety and Risk Management","field":"Chemical Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Computer science; Toxicology; Chemistry; Philosophy; Biology; Linguistics; Organic chemistry","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":[0.001157748,0.001716423,0.001963072,0.004003235,0.0008585009,0.002644162,0.002374554,0.001755203,0.09980495],"category_scores_gemma":[0.009293644,0.0005761203,0.002368064,0.005497616,0.0003689521,0.001709933,0.001846647,0.001711148,0.07147662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001617113,"about_ca_system_score_gemma":0.002981099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01596984,"about_ca_topic_score_gemma":0.03717972,"domain_scores_codex":[0.9980534,0.0002498878,0.0004213932,0.0006607657,0.0004357771,0.0001786757],"domain_scores_gemma":[0.996035,0.001036062,0.000753143,0.0008781794,0.001105286,0.0001922186],"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":[0.0005437204,0.00005169955,0.007553961,0.008020463,0.0002732127,0.00008291945,0.00005070868,0.0006711478,0.0004747401,0.001386732,0.9539177,0.026973],"study_design_scores_gemma":[0.0003037196,0.00004637099,0.01118448,0.001566009,0.0002627446,0.0002419926,0.00006298148,0.0002016615,0.0004412333,0.001888343,0.9837622,0.00003827353],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003191649,0.0008109877,0.0001286127,0.0000960453,0.00004946069,0.00003337985,0.9958677,0.0001904607,0.002504201],"genre_scores_gemma":[0.001148248,0.000696872,0.0004472017,0.0003065405,0.00002244921,0.0001331293,0.9948604,0.00005903904,0.002326178],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09980495,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00995169582904561,"score_gpt":0.3499403371666681,"score_spread":0.3399886413376225,"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."}}