{"id":"W2111703781","doi":"10.1016/j.whi.2013.11.008","title":"Gender-Based Analysis Is Essential to Improving Women's Health and Health Care","year":2014,"lang":"en","type":"article","venue":"Women s Health Issues","topic":"Sex and Gender in Healthcare","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute of Gender and Health","funders":"","keywords":"Health care; Gender analysis; Nursing; Medicine; Psychology; Economic growth; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002549138,0.000444908,0.001653825,0.0008565626,0.0007739912,0.00007564917,0.0001877747,0.0001521118,0.0002508234],"category_scores_gemma":[0.00009733262,0.0004264251,0.0001356549,0.001278676,0.00007102561,0.00007518814,0.00009140961,0.0004152406,0.00004415722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002437578,"about_ca_system_score_gemma":0.003163541,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007043134,"about_ca_topic_score_gemma":0.0008598377,"domain_scores_codex":[0.9942047,0.0005010685,0.001131479,0.001230142,0.0007966165,0.002135978],"domain_scores_gemma":[0.9942946,0.00009501406,0.0004210861,0.001051346,0.0002269047,0.003911049],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005517698,0.0002779921,0.06156745,0.01596219,0.0004964515,0.0000102009,0.512407,0.00004333224,0.00002178637,0.0002640786,0.0115734,0.3968244],"study_design_scores_gemma":[0.007139415,0.02100309,0.105139,0.0005716274,0.0001430624,0.00003340462,0.2916405,0.002540267,0.0002556975,0.0003562812,0.5696858,0.001491823],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8131498,0.02258902,0.002381485,0.1582382,0.0005394776,0.002328654,0.0001276304,0.000403381,0.0002423262],"genre_scores_gemma":[0.83948,0.0005072404,0.004484707,0.1541286,0.0006301407,0.0002133128,0.0001577909,0.00006743705,0.0003307643],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5581124,"threshold_uncertainty_score":0.9998187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04472463560787249,"score_gpt":0.3931161577919566,"score_spread":0.3483915221840841,"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."}}