{"id":"W2299048443","doi":"10.1080/14774003.2008.11667723","title":"The Data Gap in Canadian Women’S Occupational Health","year":2008,"lang":"en","type":"article","venue":"Policy and Practice in Health and Safety","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"Social Sciences and Humanities Research Council of Canada; Health Canada","keywords":"Occupational safety and health; Human factors and ergonomics; Environmental health; Compensation (psychology); Workers' compensation; Poison control; Psychology; Applied psychology; Forensic engineering; Actuarial science; Public relations; Engineering; Business; Political science; Medicine; Social psychology; Law","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":[0.06098922,0.0007393235,0.001791112,0.03018718,0.0167181,0.01473215,0.006117903,0.001736028,0.01001036],"category_scores_gemma":[0.1539111,0.001100468,0.001020355,0.06882612,0.006412188,0.004205931,0.01081636,0.002023617,0.00088334],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1937665,"about_ca_system_score_gemma":0.2766844,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9942621,"about_ca_topic_score_gemma":0.9934031,"domain_scores_codex":[0.9230371,0.01567271,0.006280947,0.005569198,0.04160329,0.007836776],"domain_scores_gemma":[0.8169933,0.06771552,0.009605092,0.007202998,0.09004848,0.008434613],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005997951,0.00018939,0.1545431,0.01006869,0.0004386417,0.001546543,0.2043633,0.001392082,0.0007374659,0.08454967,0.1722633,0.369308],"study_design_scores_gemma":[0.0000745083,0.00006045662,0.2328437,0.009616241,0.0002112499,0.0004097746,0.1308113,0.001161363,0.0006835588,0.007868324,0.6159838,0.0002757862],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.2959962,0.07545431,0.0105216,0.2455001,0.001948297,0.001554639,0.1005319,0.0003751835,0.2681176],"genre_scores_gemma":[0.8944838,0.03241639,0.01352615,0.0179083,0.0003244987,0.001291941,0.02765418,0.0001810907,0.01221358],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1937665,"threshold_uncertainty_score":0.9351166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2775307801828149,"score_gpt":0.5600374776268553,"score_spread":0.2825066974440404,"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."}}