{"id":"W2919306375","doi":"10.1111/jnu.12465","title":"Cardiovascular Risk in Middle‐Aged and Older Immigrants: Exploring Residency Period and Health Insurance Coverage","year":2019,"lang":"en","type":"article","venue":"Journal of Nursing Scholarship","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Chronic Disease Prevention and Health Promotion; National Institute on Minority Health and Health Disparities; Centers for Disease Control and Prevention; Government of Canada; International Business Machines Corporation","keywords":"Medicine; Immigration; Logistic regression; Cohort; Demography; Gerontology; Disease; Environmental health; Cohort study; Internal medicine; Geography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0007163218,0.0001849527,0.0001691099,0.0007100019,0.0005001256,0.0004267844,0.0002630695,0.0003870853,0.001698485],"category_scores_gemma":[0.002411938,0.0001184628,0.0004679474,0.0007219046,0.0001934262,0.000414735,0.0006720331,0.0003336609,0.0001678794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002343685,"about_ca_system_score_gemma":0.0005064452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02190926,"about_ca_topic_score_gemma":0.03049655,"domain_scores_codex":[0.999803,0.00006898353,0.00001961693,0.00002889059,0.00002803563,0.00005143325],"domain_scores_gemma":[0.9992477,0.0001609099,0.0002924383,0.00003436591,0.00008756974,0.0001770652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003366765,0.0000245412,0.9986659,0.000004929886,0.00001888221,0.00002408924,0.0001327966,0.00002055242,0.0000423356,0.00001627816,0.00005687529,0.0009591338],"study_design_scores_gemma":[9.753911e-7,0.00004521548,0.9992481,0.000007249823,0.00001114068,0.00003191635,0.0004301662,0.0001171251,0.00001304299,0.00001105566,0.00008251491,0.000001444445],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991682,0.0001971405,0.00005079701,0.00005182112,0.000004954301,0.000004846416,0.0001800593,0.00000103482,0.0003411166],"genre_scores_gemma":[0.9995016,0.00009339845,0.00006354102,0.00002753125,0.00000746381,0.00000695045,0.0001686399,5.545143e-7,0.0001302798],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02190926,"threshold_uncertainty_score":0.04356349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08571910388010652,"score_gpt":0.3427711309495807,"score_spread":0.2570520270694742,"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."}}