{"id":"W2101909238","doi":"10.5153/sro.2024","title":"Explaining the Health Gap Experienced by Girls and Women in Canada: A Social Determinants of Health Perspective","year":2009,"lang":"en","type":"article","venue":"Sociological Research Online","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Social determinants of health; Socioeconomic status; Health equity; Race and health; Sociology; Perspective (graphical); Population health; Context (archaeology); Intersectionality; Ethnic group; Immigration; Population; Gender studies; Political science; Health care; Geography; Demography","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001291557,0.0005507416,0.0005853695,0.002886947,0.01147463,0.003742761,0.001813809,0.001088484,0.005026065],"category_scores_gemma":[0.0022291,0.0001835706,0.000960056,0.004057844,0.004812387,0.001480751,0.004316116,0.002217538,0.0001386492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0640121,"about_ca_system_score_gemma":0.09916589,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9946706,"about_ca_topic_score_gemma":0.9967493,"domain_scores_codex":[0.9981273,0.0002357025,0.00003040718,0.0001131247,0.0003077786,0.001185599],"domain_scores_gemma":[0.9987459,0.0002985793,0.0001609305,0.00002882968,0.0003501834,0.0004155421],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001124102,0.0001237076,0.7278583,0.0005270833,0.0001900044,0.001216288,0.1008557,0.0018519,0.000536032,0.09637657,0.01828437,0.05206759],"study_design_scores_gemma":[0.00001825613,0.00008619751,0.6022465,0.000824448,0.0002039533,0.0002832723,0.3313548,0.002499116,0.0003404229,0.01930977,0.04274917,0.00008409321],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8248356,0.01211892,0.001306207,0.09699447,0.0003057951,0.0001383977,0.003416265,0.00003083249,0.06085346],"genre_scores_gemma":[0.9927661,0.00294164,0.0003710157,0.001533945,0.00004437206,0.00002386636,0.0002528062,0.00000690655,0.002059189],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0640121,"threshold_uncertainty_score":0.4644425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2597278572543338,"score_gpt":0.5421238440501611,"score_spread":0.2823959867958273,"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."}}