{"id":"W4367609637","doi":"10.32920/22726700.v1","title":"Improving health equity through theory-informed evaluations: A look at housing first strategies, cross-sectoral health programs, and prostitution policy","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital; University of Toronto; McMaster University; Toronto Metropolitan University","funders":"Canadian Institutes of Health Research","keywords":"Perspective (graphical); Equity (law); Health equity; Inequality; Equity theory; Variety (cybernetics); Sociology; Law and economics; Positive economics; Public economics; Psychology; Political science; Economics; Health care; Law; Computer science; Economic Justice","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":[0.06760795,0.001168811,0.001125421,0.005309615,0.00500644,0.01397612,0.002408801,0.007143949,0.007062017],"category_scores_gemma":[0.06323582,0.0005079618,0.001360804,0.003438375,0.0293039,0.01701345,0.008174379,0.006484822,0.000321363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0272182,"about_ca_system_score_gemma":0.02540397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009228381,"about_ca_topic_score_gemma":0.01449982,"domain_scores_codex":[0.90467,0.08574057,0.001252329,0.0007612169,0.00505751,0.002518387],"domain_scores_gemma":[0.9107417,0.07983342,0.002311197,0.00157861,0.003849055,0.001685908],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001106325,0.0005297394,0.001392527,0.002311481,0.00006821709,0.0001967186,0.01193597,0.002671557,0.0001506883,0.8584016,0.01244132,0.1097896],"study_design_scores_gemma":[0.0003324425,0.0006931988,0.002712154,0.009558325,0.0001689146,0.0001710488,0.03587444,0.005780749,0.001490744,0.8504221,0.0926915,0.0001043829],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.04204907,0.09799163,0.05099846,0.5688024,0.002150318,0.001635506,0.0001541076,0.0001557875,0.2360628],"genre_scores_gemma":[0.8492374,0.05502097,0.04696641,0.03729764,0.0006740522,0.001977989,0.0000839132,0.00009334477,0.008648372],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06760795,"threshold_uncertainty_score":0.3575493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7310940407662243,"score_gpt":0.7208180541324771,"score_spread":0.01027598663374718,"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."}}