{"id":"W2102190492","doi":"10.1002/ajim.20599","title":"Occupational segregation as a determinant of US worker health","year":2008,"lang":"en","type":"article","venue":"American Journal of Industrial Medicine","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Work & Health; University of Toronto","funders":"National Institute for Occupational Safety and Health","keywords":"Medicine; Logistic regression; Environmental health; Occupational safety and health; Public health; Gerontology; Demography","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":[0.000761439,0.0001431474,0.0001303409,0.0006916375,0.0005113905,0.0003654435,0.0001621204,0.0002097525,0.00176009],"category_scores_gemma":[0.002563162,0.00008436321,0.0001631489,0.000613924,0.000411605,0.0001822024,0.0005910536,0.0002663316,0.0001046226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004178912,"about_ca_system_score_gemma":0.0006790047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01224572,"about_ca_topic_score_gemma":0.01494091,"domain_scores_codex":[0.9994129,0.0002229709,0.00003954411,0.00007250794,0.0001138323,0.0001383227],"domain_scores_gemma":[0.9984503,0.0002298187,0.0008930928,0.00006317742,0.0001312225,0.0002324847],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004286681,0.00001783735,0.9968402,0.000008479226,0.000020653,0.00002861507,0.0001086522,0.00005857556,0.0001699258,0.0000788242,0.00009916089,0.00252632],"study_design_scores_gemma":[0.000001490601,0.00003185223,0.9992045,0.00001390488,0.00001171728,0.00007098256,0.0001736982,0.000137539,0.00006656059,0.00009563432,0.0001908029,0.000001322822],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985133,0.0003458348,0.0001876522,0.0001701837,0.000004337082,0.000005063498,0.0001308627,0.000003061359,0.0006398189],"genre_scores_gemma":[0.9997643,0.00006380459,0.00005905171,0.00001129716,0.000004367872,0.000002334002,0.000058573,4.204873e-7,0.00003581411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01224572,"threshold_uncertainty_score":0.02434886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09638163011946146,"score_gpt":0.4036795178570266,"score_spread":0.3072978877375652,"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."}}