{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001069658,0.001479728,0.001455053,0.003880788,0.0006522792,0.001740895,0.001777785,0.001367361,0.08328515],"category_scores_gemma":[0.008557551,0.0004737235,0.002157497,0.006227147,0.0002324587,0.001203346,0.001589868,0.001361218,0.0567832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001264616,"about_ca_system_score_gemma":0.002440031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02753139,"about_ca_topic_score_gemma":0.03834983,"domain_scores_codex":[0.9983725,0.0002305797,0.0003817303,0.0004923327,0.000374737,0.0001481155],"domain_scores_gemma":[0.9964536,0.0007669468,0.0007008179,0.0006104363,0.001227355,0.0002407946],"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":[0.0003066256,0.00006117144,0.01074703,0.003484851,0.0001848589,0.00006605971,0.00005431426,0.000283664,0.0001344811,0.0006059959,0.9685078,0.0155632],"study_design_scores_gemma":[0.0003666711,0.00005531499,0.04393286,0.001844446,0.0001757022,0.0002815486,0.0001757104,0.0002350402,0.0002684238,0.001138033,0.9514741,0.00005214969],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003225829,0.0001865198,0.00006038888,0.00005023387,0.00003514507,0.00002816038,0.997985,0.0000553532,0.001276493],"genre_scores_gemma":[0.001140444,0.0002888527,0.0002611389,0.0001199001,0.00002635624,0.0001934156,0.995536,0.00002280386,0.00241119],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08328515,"threshold_uncertainty_score":0.2786166,"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."}}