{"id":"W4249497040","doi":"10.1515/iupac.79.1328","title":"Genetic Susceptibility","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Carcinogens and Genotoxicity Assessment","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Computer science; Multidisciplinary approach; Toxicology; Chemistry; Biology; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003501701,0.0004505565,0.0004396493,0.00007939315,0.0001003748,0.00004344634,0.0004611597,0.0005582836,0.001476662],"category_scores_gemma":[0.0001840144,0.0003625641,0.0003016416,0.00007818795,0.0001749952,0.00000174422,0.0003893184,0.0002323588,0.000002718161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001691188,"about_ca_system_score_gemma":0.0008445031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001165573,"about_ca_topic_score_gemma":0.003456393,"domain_scores_codex":[0.9975065,0.0001053287,0.0004298316,0.0008467586,0.0006412735,0.000470299],"domain_scores_gemma":[0.9977295,0.00001395554,0.0001913308,0.001470416,0.0003978226,0.0001970211],"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":[0.0001395263,0.0001958137,0.000120289,0.00008350197,0.0001229552,0.0000237898,0.000001636985,0.000002831548,0.01059666,6.465848e-7,0.9863455,0.00236686],"study_design_scores_gemma":[0.0006751725,0.0005565129,0.0007957266,0.0000547834,0.00008663916,0.00002423752,0.000009336476,9.227213e-7,0.001937773,0.00003344241,0.9953426,0.0004829213],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01434369,0.001245149,0.0004640165,0.0001698715,0.0005046852,0.0003580592,0.9828725,0.00001532035,0.0000266577],"genre_scores_gemma":[0.001390743,0.001711714,0.0001263874,0.0003570208,0.001756534,0.00002205845,0.9941124,0.00004211142,0.0004809973],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01295294,"threshold_uncertainty_score":0.9998826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01006308053487299,"score_gpt":0.3750903057046396,"score_spread":0.3650272251697667,"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."}}