{"id":"W4400957907","doi":"10.1177/08404704241265675","title":"How immigration shapes health disadvantages and what healthcare organizations can do to deliver more equitable care","year":2024,"lang":"en","type":"article","venue":"Healthcare Management Forum","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; Simon Fraser University; University of British Columbia","funders":"Canadian Institutes of Health Research; Michael Smith Health Research BC; Vancouver Foundation","keywords":"Immigration; Disadvantage; Health care; Context (archaeology); Public relations; Health equity; Business; Healthcare system; Political science; Nursing; Sociology; Medicine; Geography; Law","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.005798004,0.0002983669,0.0003179113,0.001151534,0.01683624,0.009506124,0.001189377,0.001969815,0.009398994],"category_scores_gemma":[0.0111792,0.0002925096,0.0003791738,0.001126327,0.01365601,0.006941813,0.01158323,0.00390917,0.0003749759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01165847,"about_ca_system_score_gemma":0.0319192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1549923,"about_ca_topic_score_gemma":0.2556161,"domain_scores_codex":[0.9932007,0.003254521,0.0001378099,0.0002183909,0.0006176796,0.00257091],"domain_scores_gemma":[0.9942523,0.001373645,0.0006990765,0.0001668432,0.0004714376,0.003036627],"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":[0.0001336822,0.0004101787,0.1476008,0.0004441791,0.00006602614,0.002193886,0.5917124,0.0002563931,0.0005279736,0.1003418,0.03728155,0.1190312],"study_design_scores_gemma":[0.00002687718,0.00007129235,0.04651347,0.0009185834,0.00002404247,0.0003529196,0.884487,0.0001130883,0.0001081212,0.01773415,0.04960552,0.00004495696],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5307055,0.003666752,0.0009322221,0.3764539,0.0008705377,0.00007301674,0.00008095841,0.00004358175,0.08717363],"genre_scores_gemma":[0.9838398,0.0018903,0.0006692495,0.0102912,0.0001186773,0.0000355026,0.00002453005,0.00003037353,0.003100337],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1549923,"threshold_uncertainty_score":0.3081804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01425394908650226,"score_gpt":0.3342466948770295,"score_spread":0.3199927457905273,"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."}}