{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003241395,0.0004508449,0.0004246212,0.0001045906,0.0001071094,0.00004647254,0.0004681014,0.0005755502,0.001335597],"category_scores_gemma":[0.0001337854,0.0003601832,0.0002884602,0.00008194103,0.0001245046,0.000002030869,0.0003707667,0.0002358912,0.000003632504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001470674,"about_ca_system_score_gemma":0.0008104258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005317079,"about_ca_topic_score_gemma":0.0009303019,"domain_scores_codex":[0.9977191,0.00007231373,0.0003749038,0.000705395,0.0006544639,0.0004738165],"domain_scores_gemma":[0.998121,0.00001135931,0.0001944343,0.001163917,0.0003199911,0.0001892458],"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":[0.0001242093,0.0001449345,0.000008409553,0.00006078542,0.0001588366,0.00002924902,0.000001615575,0.000001586931,0.01904048,0.000002007947,0.9784719,0.001955967],"study_design_scores_gemma":[0.0007132155,0.000468769,0.0000468343,0.00006977429,0.00008125793,0.00003077115,0.000008504955,5.733748e-7,0.005984308,0.00002474816,0.9920697,0.0005015702],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002219369,0.001613048,0.0003867569,0.0002386341,0.000571447,0.0003281443,0.9945697,0.00001655422,0.00005640669],"genre_scores_gemma":[0.0002690668,0.002427977,0.00005996095,0.0005927493,0.002028647,0.00002846523,0.9934897,0.00004983229,0.001053615],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01359776,"threshold_uncertainty_score":0.999885,"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."}}