{"id":"W51675657","doi":"10.1192/s174936760000206x","title":"Migration and mental health in Canada: can government policy help?","year":2008,"lang":"en","type":"article","venue":"International Psychiatry","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Immigration; Poverty; Government (linguistics); Settlement (finance); Mental health; Population; Immigration policy; Relocation; Social isolation; Isolation (microbiology); Public policy; Statistic; Demography; Demographic economics; Political science; Geography; Economic growth; Medicine; Sociology; Psychiatry; Economics; Law","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":[0.004128932,0.0005766456,0.00104163,0.00245061,0.01760157,0.008469696,0.003772832,0.009687726,0.01210816],"category_scores_gemma":[0.01537518,0.0005430125,0.001241036,0.004025492,0.007311556,0.003310241,0.005373057,0.01034383,0.0005754272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1302936,"about_ca_system_score_gemma":0.5158923,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9939336,"about_ca_topic_score_gemma":0.9970462,"domain_scores_codex":[0.9945483,0.0007563367,0.0002502388,0.00022275,0.001130525,0.00309182],"domain_scores_gemma":[0.9754259,0.002090655,0.001230209,0.0002176636,0.004996616,0.01603884],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003801466,0.0006323282,0.07113123,0.002783879,0.0002341644,0.002207118,0.009125012,0.0009190377,0.0003702392,0.04564852,0.62774,0.2388283],"study_design_scores_gemma":[0.0004546406,0.0003000893,0.3506872,0.01695582,0.0004344537,0.0009450783,0.09890256,0.001480609,0.0003034738,0.01957305,0.5093966,0.0005664195],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01650139,0.02627654,0.00007958058,0.9452701,0.001795747,0.00004977271,0.0003998234,0.00002743504,0.009599735],"genre_scores_gemma":[0.3866493,0.1102313,0.001827193,0.4794089,0.002638192,0.0001982996,0.0008883468,0.00006806006,0.01809047],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1302936,"threshold_uncertainty_score":0.9453504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01235287478023713,"score_gpt":0.299820342005946,"score_spread":0.2874674672257089,"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."}}