{"id":"W2898532196","doi":"10.1093/annweh/wxy044","title":"Development of and Selected Performance Characteristics of CANJEM, a General Population Job-Exposure Matrix Based on Past Expert Assessments of Exposure","year":2018,"lang":"en","type":"article","venue":"Annals of Work Exposures and Health","topic":"Occupational and environmental lung diseases","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique; McGill University Health Centre; Public Health Ontario; University of Toronto; Université du Québec à Montréal; Université de Montréal; Armand Frappier Museum; Institut de recherche Robert-Sauvé en santé et en sécurité du travail; McGill University; Centre Hospitalier de l’Université de Montréal; HEC Montréal","funders":"Medical Research Council; National Cancer Institute; National Institutes of Health; Medical Research Council Canada; Cancer Research Society; Canadian Institutes of Health Research; Health Canada","keywords":"Population; Control (management); Job-exposure matrix; Applied psychology; Computer science; Psychology; Environmental health; Medicine; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.006993811,0.0008217143,0.0005140366,0.005417768,0.0007686053,0.001388094,0.000762936,0.0004382152,0.002661488],"category_scores_gemma":[0.02886504,0.0002686362,0.000958974,0.00329707,0.0004091043,0.0006239705,0.001352045,0.000494107,0.000422057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002366793,"about_ca_system_score_gemma":0.003680885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05430739,"about_ca_topic_score_gemma":0.09942693,"domain_scores_codex":[0.9966087,0.001011428,0.0005068318,0.0005525294,0.001096307,0.0002241585],"domain_scores_gemma":[0.9836347,0.007072298,0.002152024,0.001382995,0.005332322,0.0004256084],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006491218,0.0002624979,0.7806794,0.0007139069,0.0004915413,0.0001321384,0.001352719,0.01488293,0.002823524,0.001797612,0.006022919,0.1901916],"study_design_scores_gemma":[0.0001213348,0.0006899344,0.9126981,0.0001947536,0.0002209261,0.0002939868,0.001645983,0.06192065,0.004330758,0.001864943,0.01590978,0.0001086992],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8232275,0.0004618766,0.1261732,0.000371896,0.00007250988,0.003904807,0.03358985,0.001487737,0.01071053],"genre_scores_gemma":[0.7265213,0.0001923719,0.24488,0.00007372616,0.00002514902,0.002615421,0.02389608,0.00008170998,0.001714331],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05430739,"threshold_uncertainty_score":0.1079826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04833960328503743,"score_gpt":0.3668420120928592,"score_spread":0.3185024088078218,"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."}}