{"id":"W2546525884","doi":"10.1177/2156869316671372","title":"Economic Conditions in Countries of Origin and Trajectories in Distress after Migration to Canada","year":2016,"lang":"en","type":"article","venue":"Society and Mental Health","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Immigration; Mental health; Demographic economics; Generalizability theory; Distress; Population; Metropolitan area; Country of origin; Demography; Psychology; Geography; Sociology; Political science; Economics; Developmental psychology; Psychiatry; Clinical psychology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0005827986,0.0003038363,0.000349946,0.001395191,0.003158873,0.002152626,0.0008094411,0.0005267865,0.002188523],"category_scores_gemma":[0.003907629,0.000204518,0.0005311648,0.002961675,0.001119178,0.0006676809,0.002851175,0.001225361,0.0001719864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01068808,"about_ca_system_score_gemma":0.0129364,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9567479,"about_ca_topic_score_gemma":0.9707736,"domain_scores_codex":[0.9994073,0.00006514289,0.00002298945,0.00006454196,0.00007128102,0.0003688039],"domain_scores_gemma":[0.997897,0.0001219191,0.0005245907,0.0000843941,0.0005533505,0.0008186562],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009055396,0.00002628368,0.9921215,0.00001255587,0.00003095519,0.0001632569,0.003040614,0.0001259974,0.00006198201,0.0001483934,0.0003533876,0.003824698],"study_design_scores_gemma":[0.000002155009,0.00001310757,0.9932023,0.00002613281,0.000008096787,0.00003881376,0.006149079,0.00008739136,0.00002031663,0.00003860681,0.0004058258,0.000008261444],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997768,0.0004155741,0.00002969953,0.0003689012,0.00001025951,0.000009024167,0.0004972694,0.000002189548,0.000899112],"genre_scores_gemma":[0.9987984,0.0003384696,0.00002974812,0.00004257874,0.000003147613,0.00000465043,0.0003738893,0.000001841496,0.0004073379],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04325205,"threshold_uncertainty_score":0.08701348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01630857351311333,"score_gpt":0.3576227916998916,"score_spread":0.3413142181867783,"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."}}