{"id":"W3096981203","doi":"10.1136/bmjopen-2020-040180","title":"Advancing a health equity agenda across multiple policy domains: a qualitative policy analysis of social, trade and welfare policy","year":2020,"lang":"en","type":"article","venue":"BMJ Open","topic":"Global Public Health Policies and Epidemiology","field":"Business, Management and Accounting","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"National Health and Medical Research Council; Medical Research Council","keywords":"Health policy; Equity (law); Social policy; Social determinants of health; Policy analysis; Public relations; Health services research; Health equity; Public economics; Public administration; Politics; Medicine; Health care; Political science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05089841,0.0004740976,0.0006512027,0.00437291,0.01435828,0.008052464,0.002033555,0.003053402,0.004522067],"category_scores_gemma":[0.03453742,0.0006980464,0.0005466757,0.005561129,0.02113457,0.01076401,0.008937178,0.003808045,0.0002956001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02841405,"about_ca_system_score_gemma":0.02074154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02377489,"about_ca_topic_score_gemma":0.02456074,"domain_scores_codex":[0.9632175,0.03140682,0.0005602645,0.0007334595,0.00152112,0.0025609],"domain_scores_gemma":[0.9368415,0.0557464,0.002349672,0.0009606795,0.002546039,0.001555695],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002939134,0.00005166459,0.001594691,0.0002522068,0.000005118434,0.0004325431,0.9545645,0.0003281155,0.000289108,0.03657149,0.0007910127,0.00509017],"study_design_scores_gemma":[0.000007062515,0.00002144725,0.0006416765,0.0003559714,0.000004220789,0.00006808255,0.9799982,0.0003952139,0.0002106493,0.006568672,0.01171803,0.00001077328],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8967831,0.002189331,0.02301457,0.0323825,0.0002415797,0.001737484,0.0006630153,0.00003708937,0.04295135],"genre_scores_gemma":[0.9859051,0.001296481,0.00611526,0.001561297,0.00002726448,0.00119174,0.0001108295,0.0000312318,0.00376077],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05089841,"threshold_uncertainty_score":0.2691797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.194034972907673,"score_gpt":0.5403020123206166,"score_spread":0.3462670394129436,"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."}}