{"id":"W4233064148","doi":"10.1515/iupac.79.2180","title":"Tumor Suppressor Gene","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 Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Multidisciplinary approach; Hazard; Computer science; Toxicology; Biology; Chemistry; Philosophy; Linguistics; Sociology; Social science","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":[0.0009259736,0.001447944,0.001732345,0.002936065,0.0006738722,0.001916672,0.001931295,0.001578097,0.05946216],"category_scores_gemma":[0.005152525,0.0004549376,0.001332463,0.004911915,0.0003070447,0.0009954054,0.001174455,0.001570392,0.05499785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001023355,"about_ca_system_score_gemma":0.002154349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01077264,"about_ca_topic_score_gemma":0.02147792,"domain_scores_codex":[0.9989755,0.0001318253,0.0001739722,0.0003888905,0.0002232148,0.0001066034],"domain_scores_gemma":[0.9983243,0.0005628334,0.0002729445,0.0003487852,0.0003431,0.0001480987],"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":[0.0003974107,0.00005038709,0.005602174,0.00277446,0.0001621572,0.0001206928,0.00003979684,0.0005385172,0.0006652613,0.0008491551,0.9774905,0.0113094],"study_design_scores_gemma":[0.0005226753,0.00005020801,0.01557345,0.0007793035,0.0001910725,0.0003615118,0.00006216023,0.0003600135,0.0008130053,0.001497933,0.9797458,0.00004292934],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002440359,0.0002281127,0.00007953171,0.00004630729,0.00001903313,0.00001276538,0.9986849,0.0001087355,0.0005764469],"genre_scores_gemma":[0.0005429088,0.0001590547,0.0002446528,0.00008264763,0.000006115826,0.00007566993,0.9982148,0.0000290273,0.000645148],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05946216,"threshold_uncertainty_score":0.1989207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00960017653607384,"score_gpt":0.3683542640118073,"score_spread":0.3587540874757335,"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."}}