{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002354275,0.000474964,0.0005741096,0.0001057469,0.00006780573,0.00002787306,0.0006229595,0.0004760645,0.009588549],"category_scores_gemma":[0.000330147,0.0003400611,0.0002561431,0.0001621228,0.00008593449,0.00005428057,0.0003835472,0.0006242613,0.00002326874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006044354,"about_ca_system_score_gemma":0.0001162774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006415197,"about_ca_topic_score_gemma":0.00007374684,"domain_scores_codex":[0.9974631,0.00002043019,0.0004934627,0.000539768,0.0009327491,0.0005505114],"domain_scores_gemma":[0.9985106,0.00009952304,0.0001522873,0.0008771525,0.0001332697,0.0002271463],"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":[0.00007200481,0.000124863,2.659253e-7,0.0002677322,0.000141072,0.00005140665,0.000002753839,0.0000160718,0.0007058578,0.00003501156,0.9944785,0.004104478],"study_design_scores_gemma":[0.0006951159,0.00003698359,0.000001477109,0.0003505895,0.0001182698,0.000004463551,0.000003474081,0.00004962516,0.0007915622,0.0001571113,0.9972709,0.0005204232],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002070623,0.0007342966,0.00129602,0.0005529157,0.0005385139,0.0002215588,0.9962445,0.0001863895,0.0002050405],"genre_scores_gemma":[0.00001469981,0.001772507,0.00005716551,0.0002556422,0.001499383,0.00001893646,0.9945878,0.00005477392,0.001739096],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.00956528,"threshold_uncertainty_score":0.9999052,"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."}}