{"id":"W4255948376","doi":"10.1515/iupac.79.1366","title":"Harmful Occupational Factor","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Workplace Violence and Bullying","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Hazard; Computer science; Toxicology; Multidisciplinary approach; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00106844,0.001492124,0.001495965,0.004365704,0.0006329779,0.001760712,0.001799646,0.001263221,0.06222758],"category_scores_gemma":[0.009941566,0.0004445505,0.002613672,0.005718965,0.0002830529,0.00125221,0.001487604,0.001529842,0.03146546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001416236,"about_ca_system_score_gemma":0.00255852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03420305,"about_ca_topic_score_gemma":0.05625306,"domain_scores_codex":[0.9983233,0.0002021563,0.0004443828,0.0004742939,0.0004107608,0.0001451383],"domain_scores_gemma":[0.9959423,0.00100009,0.001089844,0.0005623004,0.001185239,0.0002201658],"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":[0.0004707698,0.00007309322,0.03500377,0.006639245,0.0004339376,0.00008328288,0.00008385487,0.0006505526,0.0001767939,0.001394465,0.9321729,0.02281735],"study_design_scores_gemma":[0.000475782,0.00006435645,0.08049936,0.0028853,0.0003854163,0.0003264667,0.0002281262,0.0005301115,0.0003482974,0.001898027,0.9122853,0.00007336438],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005138877,0.0003134572,0.00007252182,0.00005721,0.00003588201,0.00003193945,0.997628,0.00006309488,0.001283989],"genre_scores_gemma":[0.00295748,0.000503331,0.0004310452,0.0001658613,0.00003867995,0.000266332,0.9932608,0.00003268592,0.00234385],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06222758,"threshold_uncertainty_score":0.208172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03382784368681262,"score_gpt":0.4651284777825358,"score_spread":0.4313006340957232,"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."}}