{"id":"W2595242966","doi":"10.1136/jech-2016-208525","title":"Socioeconomic gradients in all-cause, premature and avoidable mortality among immigrants and long-term residents using linked death records in Ontario, Canada","year":2017,"lang":"en","type":"article","venue":"Journal of Epidemiology & Community Health","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital; Western University; Institute for Clinical Evaluative Sciences; Public Health Ontario; University of Toronto","funders":"Canadian Institutes of Health Research; Canada Research Chairs; Ontario Ministry of Health and Long-Term Care; Institute for Clinical Evaluative Sciences","keywords":"Immigration; Demography; Socioeconomic status; Medicine; Cohort; Mortality rate; Population; Cohort study; Geography; Environmental health; Internal medicine","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":[0.001088641,0.000302022,0.0004223603,0.001904888,0.002315172,0.001224065,0.00119954,0.0002934685,0.001741817],"category_scores_gemma":[0.003183054,0.0003165051,0.0006751003,0.004954352,0.0006275701,0.0004154863,0.00124895,0.0004424491,0.0002326276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02714292,"about_ca_system_score_gemma":0.03166921,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9977768,"about_ca_topic_score_gemma":0.9988682,"domain_scores_codex":[0.9991533,0.00007370496,0.00009266547,0.0001490163,0.0002784359,0.0002528946],"domain_scores_gemma":[0.997285,0.0001807438,0.0006593338,0.0001063665,0.001356448,0.0004120324],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003304093,0.000009107,0.9954319,0.00004956315,0.00005117167,0.00004833921,0.0009266806,0.0001427651,0.00007958199,0.00008047594,0.001149429,0.001998059],"study_design_scores_gemma":[0.000004180866,0.000006138581,0.9976135,0.00005166604,0.00002313162,0.00002270631,0.0009892104,0.0002690083,0.00002529521,0.00001987268,0.0009670726,0.000008248557],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9766118,0.0009249985,0.0003684906,0.0003975081,0.00001387073,0.0000813777,0.0190728,0.00002098582,0.002508231],"genre_scores_gemma":[0.990214,0.0006341981,0.0004659808,0.00009538663,0.000005467847,0.00005562388,0.007069343,0.000008053095,0.001451977],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02714292,"threshold_uncertainty_score":0.1969365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1892431584903324,"score_gpt":0.4343601932891699,"score_spread":0.2451170347988375,"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."}}