{"id":"W2077246046","doi":"10.2190/hs.43.3.h","title":"Social Change and Women's Health","year":2013,"lang":"en","type":"article","venue":"International Journal of Health Services","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Economic and Social Research Council; Canadian Institutes of Health Research","keywords":"Affect (linguistics); Situated; Life course approach; Social change; Population; Sociology; Social determinants of health; Demographic economics; Economic growth; Gender studies; Political science; Psychology; Social psychology; Economics; Health care; Demography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001644885,0.00007381418,0.0002549418,0.0001330978,0.0004768836,0.0001563442,0.0003339873,0.00004617749,0.0003305925],"category_scores_gemma":[0.00001948147,0.00006435146,0.00004334323,0.00007797459,0.0000608016,0.000684413,0.00004261485,0.000140721,0.00001802947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004418134,"about_ca_system_score_gemma":0.0005720588,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05071066,"about_ca_topic_score_gemma":0.003179557,"domain_scores_codex":[0.998045,0.000243925,0.000573424,0.00008454754,0.000623827,0.0004292987],"domain_scores_gemma":[0.998448,0.00009698403,0.0006951703,0.00003441617,0.0003677302,0.0003576727],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00004596606,0.0001549618,0.09452967,0.0008367827,0.000106592,0.000009470865,0.450702,6.181635e-7,8.359306e-7,0.03927325,0.009071568,0.4052683],"study_design_scores_gemma":[0.0005199962,0.0001200656,0.5452366,0.0002563328,0.000001366956,0.00001230615,0.05168232,0.00001450596,2.916259e-7,0.005534032,0.396532,0.00009018811],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5535079,0.002771188,0.00001238003,0.4415322,0.001403398,0.0002143816,0.000006237708,0.00001547928,0.0005368567],"genre_scores_gemma":[0.911905,0.003155438,0.0001875698,0.0828686,0.001750742,0.00001331086,0.000001612714,0.000006774825,0.0001109797],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4507069,"threshold_uncertainty_score":0.9556108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05343170842843392,"score_gpt":0.4062289998087392,"score_spread":0.3527972913803053,"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."}}