{"id":"W4388272233","doi":"10.1016/j.jcjd.2023.10.295","title":"DIFFERENTIAL IMPACT OF NEIGHBOURHOOD-LEVEL INCOME ON THE RISK OF CARDIOVASCULAR EVENT BETWEEN IMMIGRANTS AND LONG-TERM RESIDENTS IN ONTARIO","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Diabetes","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Public Health","funders":"","keywords":"Medicine; Neighbourhood (mathematics); Immigration; Differential (mechanical device); Term (time); Demographic economics; Environmental health; Event (particle physics); Demography; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0004046888,0.0002203371,0.0004035227,0.0006669689,0.003102187,0.001276685,0.000876707,0.0004655009,0.002822828],"category_scores_gemma":[0.00180983,0.0002997709,0.0007839754,0.001625793,0.0009644741,0.000434418,0.001501054,0.000727877,0.0002198228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01138574,"about_ca_system_score_gemma":0.01252614,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9714034,"about_ca_topic_score_gemma":0.9908987,"domain_scores_codex":[0.9993029,0.00008295246,0.0000483755,0.00009613702,0.0001287459,0.0003408565],"domain_scores_gemma":[0.9983247,0.0001017171,0.0003502088,0.00005040393,0.0003906836,0.0007822391],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001528589,0.00002679871,0.9956988,0.00001651896,0.00004682728,0.0001250473,0.001994269,0.00003546865,0.0001157325,0.00009331021,0.0003288616,0.001365547],"study_design_scores_gemma":[0.000004558607,0.00001397298,0.9964652,0.00001513844,0.00001481838,0.00002923325,0.003146384,0.00005295346,0.000009445246,0.00002136169,0.0002217101,0.000005207821],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980259,0.0001732769,0.00002435152,0.0002188508,0.000008651416,0.000005299137,0.0004346747,0.000001799351,0.001107123],"genre_scores_gemma":[0.9989635,0.0001037183,0.00002348285,0.00003631019,0.000004581347,0.00000391613,0.0002088461,0.000001801539,0.0006539311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02859664,"threshold_uncertainty_score":0.08260971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05244409953807158,"score_gpt":0.3281723854938998,"score_spread":0.2757282859558282,"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."}}