{"id":"W4231761600","doi":"10.1515/iupac.79.1381","title":"Healthy Worker Effect","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Workplace Health and Well-being","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Hazard; Multidisciplinary approach; Computer science; Toxicology; Chemistry; Philosophy; Biology; 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":[0.001331869,0.001328202,0.001482593,0.002514314,0.0007888479,0.001847444,0.002095535,0.001882841,0.1037553],"category_scores_gemma":[0.01237907,0.0004373294,0.003368147,0.00329478,0.0002674002,0.001323515,0.001487467,0.0014852,0.04859472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001221728,"about_ca_system_score_gemma":0.002348826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03346114,"about_ca_topic_score_gemma":0.05613958,"domain_scores_codex":[0.99863,0.0002013436,0.0002399105,0.0005042027,0.0002608225,0.0001636904],"domain_scores_gemma":[0.9966919,0.001023909,0.0007175332,0.0005560516,0.0007331129,0.0002774803],"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":[0.001110657,0.0001079126,0.02318041,0.004138563,0.0004826087,0.00005911273,0.00005598826,0.0004850864,0.0001166011,0.001368919,0.9357958,0.03309822],"study_design_scores_gemma":[0.001370733,0.0001840576,0.1066148,0.002978784,0.001041797,0.0003262942,0.0001905709,0.0007415003,0.0004353586,0.003273987,0.8827358,0.0001063653],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008197275,0.0006609588,0.0001529841,0.0001808698,0.00009906716,0.00005135563,0.9952466,0.0001479308,0.002640605],"genre_scores_gemma":[0.006221789,0.000740536,0.0006950449,0.0005292945,0.0001019918,0.0004775864,0.9837934,0.00007050877,0.0073698],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1037553,"threshold_uncertainty_score":0.3470961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01961253848398907,"score_gpt":0.4942358409489437,"score_spread":0.4746233024649547,"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."}}