{"id":"W2902416426","doi":"10.15171/ijhpm.2018.103","title":"Reducing Health Inequities Through Intersectoral Action: Balancing Equity in Health With Equity for Other Social Goods","year":2018,"lang":"en","type":"article","venue":"International Journal of Health Policy and Management","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre; Western University","funders":"Canadian Institutes of Health Research","keywords":"Health equity; Equity (law); Social determinants of health; Public economics; Social justice; Business; Economic growth; Economics; Political science; Health care; Law and economics; Law","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02606219,0.0008878671,0.001523922,0.002808676,0.004719506,0.01064035,0.002217628,0.0055786,0.006561236],"category_scores_gemma":[0.02232834,0.0003475022,0.0009655139,0.00231585,0.02339744,0.01004828,0.0185818,0.005783928,0.0003519008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008806596,"about_ca_system_score_gemma":0.01872655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005899962,"about_ca_topic_score_gemma":0.009829796,"domain_scores_codex":[0.9719487,0.02044458,0.0004798436,0.001167315,0.002618792,0.003340841],"domain_scores_gemma":[0.9846154,0.007974041,0.001882438,0.001387948,0.001347022,0.002793108],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004298447,0.0001685883,0.003199847,0.0002194119,0.000127469,0.00008924164,0.002055904,0.003698669,0.0002373202,0.9588688,0.002603787,0.0286879],"study_design_scores_gemma":[0.00002155338,0.00005525758,0.001898304,0.0003995603,0.00002930113,0.00004572664,0.002769914,0.002118256,0.0001863482,0.9801113,0.01234768,0.00001686661],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1098777,0.02174326,0.1482795,0.4331702,0.001003853,0.0005815851,0.000202573,0.0001301144,0.2850111],"genre_scores_gemma":[0.9603764,0.005044144,0.02230904,0.008771244,0.0003960878,0.0002400175,0.00003822306,0.00002046538,0.002804228],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02606219,"threshold_uncertainty_score":0.1378317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2351993091407582,"score_gpt":0.4776134089684886,"score_spread":0.2424140998277304,"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."}}