{"id":"W4255044443","doi":"10.1515/iupac.79.1712","title":"Occupational Exposure","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Occupational Health and Safety in Workplaces","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Toxicology; Hazard; Computer science; Chemistry; Biology; Philosophy; Linguistics; Organic chemistry","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":[0.001626878,0.0005303226,0.0007982414,0.0003134635,0.001180049,0.00001374256,0.0005583417,0.00120722,0.03455622],"category_scores_gemma":[0.001629632,0.0003851728,0.0001886244,0.0002718079,0.0001512874,0.0001371674,0.0002303756,0.001696843,0.0001326663],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001136357,"about_ca_system_score_gemma":0.009634808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002355792,"about_ca_topic_score_gemma":0.002173666,"domain_scores_codex":[0.9943398,0.000688736,0.001402962,0.0006341917,0.001912945,0.001021388],"domain_scores_gemma":[0.994661,0.001595042,0.0008399349,0.0009150139,0.001528251,0.0004607844],"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":[0.001128084,0.0001335303,0.002162764,0.0007210321,0.00004591855,0.0000172297,0.00003435294,0.000001153958,3.121678e-7,0.0001059361,0.9939917,0.001658008],"study_design_scores_gemma":[0.001647179,0.0002099761,0.004107165,0.001395679,0.0000576311,0.000002841236,0.00008960532,0.000001775915,2.173469e-7,0.0004706867,0.9915937,0.0004235712],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001378172,0.0008403622,0.0001530583,0.003214632,0.005043017,0.001012285,0.9890323,0.000129756,0.0004367407],"genre_scores_gemma":[0.00004106474,0.001257147,0.0001037611,0.003630706,0.00654107,0.0001632898,0.9846029,0.0000511053,0.003608925],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03442356,"threshold_uncertainty_score":0.99986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04454473318238514,"score_gpt":0.5354825482170603,"score_spread":0.4909378150346752,"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."}}