{"id":"W2586329286","doi":"10.1108/ijmhsc-10-2015-0036","title":"Are visible minorities “invisible” in Canadian health data and research? A scoping review","year":2017,"lang":"en","type":"review","venue":"International Journal of Migration Health and Social Care","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of Victoria","funders":"","keywords":"Health equity; Immigration; Population; Context (archaeology); Ethnic group; Social determinants of health; Gerontology; Medicine; Public health; Political science; Environmental health; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004201096,0.0002482254,0.001526993,0.001116867,0.0007186616,0.0002149091,0.0007869975,0.0002538516,0.00006025867],"category_scores_gemma":[0.000630513,0.0002314571,0.0001261588,0.0001742286,0.0001177373,0.0003323691,0.00009917621,0.000989296,0.000008004831],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009057955,"about_ca_system_score_gemma":0.01234467,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1748431,"about_ca_topic_score_gemma":0.830189,"domain_scores_codex":[0.9951422,0.001347256,0.00178476,0.0004142218,0.0007021432,0.0006094031],"domain_scores_gemma":[0.9950844,0.0002631527,0.002632881,0.0003365832,0.000916086,0.000766921],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002144493,0.00002490021,0.001091347,0.06665044,0.00006752206,0.00006127972,0.01655426,1.885324e-8,5.926035e-10,0.0004976165,0.03974383,0.8752874],"study_design_scores_gemma":[0.0003551218,0.0001146427,0.0007637854,0.1699808,0.00002410079,0.0001500203,0.005797804,7.047601e-7,1.596411e-9,0.0000446923,0.822633,0.0001353832],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00007249184,0.9808031,0.000003229203,0.01589135,0.001042709,0.001161742,0.0008640396,0.000005160456,0.0001561348],"genre_scores_gemma":[0.0004213288,0.9939176,0.00005245243,0.003317731,0.001244584,0.00003865271,0.0009091164,0.00002535926,0.0000731728],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8751519,"threshold_uncertainty_score":0.9932544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4182818825955822,"score_gpt":0.5959842550469454,"score_spread":0.1777023724513632,"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."}}