{"id":"W7162022443","doi":"10.82308/30836","title":"Immigration and health disparities: insights from the Canadian Longitudinal Study on Aging","year":2023,"lang":"en","type":"dissertation","venue":"","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Longitudinal study; Stressor; Acculturation; Depression (economics); Mental health; Cohort; Cohort study; Longitudinal data","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":[0.005988247,0.0004558453,0.0008325446,0.004599541,0.007386305,0.00286565,0.001510724,0.001014328,0.003590863],"category_scores_gemma":[0.0153084,0.0003606005,0.001324907,0.01551222,0.0007910568,0.001264639,0.003389012,0.002277526,0.0002886252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0272127,"about_ca_system_score_gemma":0.08495556,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9915023,"about_ca_topic_score_gemma":0.9959664,"domain_scores_codex":[0.9972271,0.0004351896,0.0002113978,0.0002683632,0.0009749185,0.0008829656],"domain_scores_gemma":[0.991034,0.001037713,0.00101375,0.0003819089,0.004847076,0.001685603],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001402388,0.0001116465,0.8718785,0.0006223346,0.0003335965,0.0002322487,0.01399569,0.0002010583,0.0000781499,0.003834304,0.06155803,0.04701409],"study_design_scores_gemma":[0.00003285155,0.0000206876,0.964521,0.001134475,0.0001936131,0.00007561583,0.01127969,0.0002562397,0.00002460317,0.0006212931,0.02178397,0.00005591489],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.719752,0.056988,0.001267331,0.06710031,0.001218442,0.0009431078,0.09447066,0.00006953145,0.05819067],"genre_scores_gemma":[0.9164627,0.03469895,0.002971734,0.009527718,0.0004130133,0.0008885612,0.03065642,0.00006139908,0.004319425],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0272127,"threshold_uncertainty_score":0.1974428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08642645071331265,"score_gpt":0.4002892036320572,"score_spread":0.3138627529187445,"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."}}