{"id":"W2907167705","doi":"10.1111/hex.12864","title":"Codesigning health and other public services with vulnerable and disadvantaged populations: Insights from an international collaboration","year":2019,"lang":"en","type":"review","venue":"Health Expectations","topic":"Chronic Disease Management Strategies","field":"Medicine","cited_by":170,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Aston University; Social Sciences and Humanities Research Council of Canada; Ontario Ministry of Research, Innovation and Science; National Institute for Health and Care Research","keywords":"Disadvantaged; Public health; Health services; Business; MEDLINE; Public relations; Economic growth; Political science; Environmental health; Medicine; Nursing; Population; Economics","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":[0.05653313,0.0006322474,0.0005614814,0.002750213,0.02263713,0.009825953,0.002325796,0.004050939,0.005378623],"category_scores_gemma":[0.05115732,0.0005485009,0.0007716332,0.003355435,0.01274475,0.01101323,0.02792682,0.007254456,0.0005701288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0101217,"about_ca_system_score_gemma":0.03763771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01802164,"about_ca_topic_score_gemma":0.02815791,"domain_scores_codex":[0.947497,0.04135608,0.001176381,0.001166689,0.002468884,0.006334919],"domain_scores_gemma":[0.9413415,0.03285206,0.003724187,0.002421561,0.005204276,0.0144564],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003496418,0.0001144374,0.007179748,0.0002654606,0.00001493321,0.0009955942,0.9501323,0.00007475595,0.0002103799,0.01377931,0.004743612,0.02245454],"study_design_scores_gemma":[0.00001019152,0.00007612297,0.004993267,0.0007722343,0.0000118308,0.0003999555,0.9356629,0.0001027354,0.0001120511,0.002973356,0.05486033,0.00002507551],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.7561023,0.00834455,0.007945525,0.1031646,0.001048737,0.0007044193,0.0001653189,0.00009971843,0.1224249],"genre_scores_gemma":[0.980298,0.003829935,0.003439791,0.006311825,0.00009879845,0.0003625162,0.00008602737,0.00008731655,0.005485875],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.05653313,"threshold_uncertainty_score":0.2989793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1563806510339625,"score_gpt":0.4653409899527072,"score_spread":0.3089603389187446,"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."}}