{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008268672,0.001116957,0.001240079,0.002213541,0.0005365479,0.001441347,0.001419736,0.001242908,0.07236473],"category_scores_gemma":[0.008541188,0.0003643137,0.001306848,0.003693288,0.0001956279,0.000909046,0.001009999,0.001213317,0.03649434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007908116,"about_ca_system_score_gemma":0.001377771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01328329,"about_ca_topic_score_gemma":0.02386994,"domain_scores_codex":[0.9990175,0.0001405316,0.0001923975,0.000407477,0.0001604718,0.00008158579],"domain_scores_gemma":[0.9975351,0.0007956437,0.0004239269,0.000579628,0.0004991848,0.0001665206],"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":[0.0006082531,0.00006509768,0.02611522,0.002508228,0.0003815655,0.0001681004,0.00006595926,0.0005099856,0.0003871873,0.001250125,0.9449374,0.02300283],"study_design_scores_gemma":[0.0005684689,0.00006981324,0.06700161,0.001629417,0.00040492,0.0008261836,0.0001292125,0.0005038499,0.0005941662,0.003178325,0.9250199,0.00007415508],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007611389,0.0002470441,0.0001670099,0.00007626716,0.00003039386,0.00002347777,0.9970783,0.0001004752,0.001515918],"genre_scores_gemma":[0.002559426,0.0002800958,0.0005722104,0.00018533,0.0000204812,0.0001599438,0.9941807,0.00004503267,0.001996656],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07236473,"threshold_uncertainty_score":0.2420841,"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."}}