{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.01553954,0.0001519786,0.0003241326,0.0003733103,0.004393747,0.00001574672,0.0002670904,0.0001470316,0.00005077713],"category_scores_gemma":[0.01822768,0.0001208266,0.00001041451,0.0006325672,0.0001783834,0.0004992994,0.0001935932,0.001291368,0.00003948656],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001657955,"about_ca_system_score_gemma":0.04135105,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8445473,"about_ca_topic_score_gemma":0.7306402,"domain_scores_codex":[0.9923158,0.003564304,0.00115597,0.0004193292,0.0003739826,0.002170563],"domain_scores_gemma":[0.9781823,0.0186102,0.0003379138,0.0005151594,0.0001199915,0.002234443],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.005181978,0.0001147456,0.7570506,0.001120989,0.00001227818,0.00002730635,0.03427229,0.00001220658,6.244881e-8,0.0695295,0.008547523,0.1241305],"study_design_scores_gemma":[0.0007455354,0.0001184314,0.4522281,0.00007709182,2.709228e-7,0.00003412883,0.002982193,0.0004100639,2.550387e-9,0.0008568537,0.5424779,0.00006939817],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.06521739,0.01607586,0.00002355397,0.8840941,0.0005148202,0.003539865,0.0009617721,0.00003482161,0.0295378],"genre_scores_gemma":[0.7432817,0.1569318,0.000506338,0.09699262,0.0007400547,0.0003660685,0.0003582473,0.00002532002,0.0007978305],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.7871015,"threshold_uncertainty_score":0.9969024,"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."}}