{"id":"W7133028917","doi":"","title":"The Association between Immigration Status and Stroke Incidence, Care and Outcomes","year":2021,"lang":"","type":"dissertation","venue":"TSpace","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Stroke (engine); Hazard ratio; Incidence (geometry); Disease; Confidence interval; Epidemiology; Acute stroke","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006516802,0.0001504098,0.0002079338,0.000547352,0.0006559826,0.0006678492,0.0002811704,0.0002564469,0.001172466],"category_scores_gemma":[0.003749527,0.0001044451,0.0002606952,0.0007586863,0.0005730458,0.0002594967,0.0006301377,0.0003748642,0.000102646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001294271,"about_ca_system_score_gemma":0.0016574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2879526,"about_ca_topic_score_gemma":0.4051443,"domain_scores_codex":[0.9995086,0.0001192754,0.00004403685,0.00006311845,0.00009687245,0.0001680163],"domain_scores_gemma":[0.9985624,0.0002051286,0.0006412517,0.00007235358,0.0002159123,0.0003029937],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000471215,0.00001040845,0.998596,0.000007973897,0.00003443661,0.00004257937,0.0001151656,0.00002089838,0.0000305377,0.00002388338,0.00005959471,0.001011297],"study_design_scores_gemma":[0.00000147488,0.00001247322,0.9997042,0.000004829274,0.000008977142,0.00002599496,0.0001353853,0.00003125664,0.000004227653,0.00001462315,0.00005545269,0.000001157044],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985086,0.0003980569,0.00003696423,0.0001115485,0.000005803176,0.000004923153,0.0001596149,0.000001478653,0.0007730307],"genre_scores_gemma":[0.9993815,0.0002421534,0.00002969611,0.00002678798,0.000007573861,0.000002810229,0.0001774944,7.856908e-7,0.0001310444],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2879526,"threshold_uncertainty_score":0.572553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01464623268214481,"score_gpt":0.3724680520256245,"score_spread":0.3578218193434797,"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."}}