{"id":"W3012516581","doi":"10.1016/j.ssmph.2020.100571","title":"Human rights in countries of origin and the mental health of migrants to Canada","year":2020,"lang":"en","type":"article","venue":"SSM - Population Health","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research; Georg-August-Universität Göttingen; Deutsche Forschungsgemeinschaft","keywords":"Human rights; Mental health; Context (archaeology); Stressor; Metropolitan area; Demographic economics; Psychology; Political science; Geography; Economics; Psychiatry; Law","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":[0.0007389868,0.0002691464,0.0002763715,0.001380154,0.005097747,0.002662157,0.0007716105,0.0004062256,0.002228124],"category_scores_gemma":[0.004277975,0.0001695324,0.0004162595,0.002691019,0.001688844,0.0006493754,0.002818001,0.001185104,0.0001343184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01613938,"about_ca_system_score_gemma":0.0222334,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.979677,"about_ca_topic_score_gemma":0.9919069,"domain_scores_codex":[0.9991357,0.0001205719,0.00003896086,0.00009023166,0.0001525848,0.0004620083],"domain_scores_gemma":[0.997561,0.0001435786,0.0008250521,0.0001027601,0.0007058159,0.0006618653],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005229221,0.00003576758,0.9775848,0.00003061444,0.00003385857,0.000181238,0.01389756,0.00009677603,0.00009401007,0.0002606313,0.0007883071,0.006944308],"study_design_scores_gemma":[0.000002366558,0.00001488839,0.9572684,0.00007378764,0.00001100233,0.00007203862,0.04032641,0.00004717817,0.00004036926,0.00004550114,0.002085129,0.00001296974],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971278,0.0003373564,0.00002853725,0.00042406,0.00001361874,0.0000126502,0.0005507972,0.000001604216,0.001503376],"genre_scores_gemma":[0.9983391,0.0004135198,0.00005253867,0.00009716855,0.000005460815,0.000008738475,0.0003229289,0.000002264202,0.0007581993],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02032298,"threshold_uncertainty_score":0.1170999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03046310777980142,"score_gpt":0.3649105598500911,"score_spread":0.3344474520702897,"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."}}