{"id":"W4237112725","doi":"10.1515/iupac.79.1961","title":"Risk Associated With a Lifetime Exposure","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Health, Environment, Cognitive Aging","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Hazard; Computer science; Multidisciplinary approach; Toxicology; Chemistry; Biology; Philosophy; Political science; Linguistics; Law","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":[0.001872609,0.0006831311,0.0007214475,0.0001068723,0.0003349214,0.00005632938,0.0006108502,0.0005321953,0.02251627],"category_scores_gemma":[0.001631263,0.0004932822,0.0001340412,0.0003216137,0.0005820195,0.0002190826,0.0004412955,0.001100249,0.0001113504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002222757,"about_ca_system_score_gemma":0.0002726725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000762038,"about_ca_topic_score_gemma":0.004856318,"domain_scores_codex":[0.9944399,0.0005432197,0.0005748328,0.001292548,0.00219629,0.0009532258],"domain_scores_gemma":[0.9971996,0.000351972,0.000753542,0.001187615,0.00005020436,0.0004570656],"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":[0.0001086633,0.0003146442,0.004411462,0.00001844716,0.0001324691,0.000134154,0.00003580357,0.00002730471,0.00001015635,1.283399e-7,0.9875948,0.007211952],"study_design_scores_gemma":[0.001577198,0.0005987271,0.01573173,0.0004593568,0.0002290626,0.00001025033,0.00002643131,0.00001275662,0.00001356479,0.00004768163,0.9805849,0.0007083358],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.007429054,0.000127818,0.0003538674,0.000407287,0.0001656752,0.0007241493,0.9904054,0.00009639588,0.0002902971],"genre_scores_gemma":[0.001069549,0.001106276,0.0000946888,0.0008141652,0.000287154,0.00004975657,0.9957505,0.00009641163,0.0007315264],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02240492,"threshold_uncertainty_score":0.9997519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008045284511056294,"score_gpt":0.3280856699509112,"score_spread":0.3200403854398549,"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."}}