{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008882931,0.0001022763,0.0001112741,0.00008084134,0.00009662116,0.000007464631,0.00010358,0.00003501387,0.0002579097],"category_scores_gemma":[0.000009209049,0.0001073749,0.00002040529,0.0001025318,0.00002158609,0.00005070518,0.00001446985,0.0001195109,0.00001380631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001159239,"about_ca_system_score_gemma":0.001759461,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9569506,"about_ca_topic_score_gemma":0.9960763,"domain_scores_codex":[0.9988531,0.0000474589,0.0003319706,0.0002260461,0.0003116805,0.0002297602],"domain_scores_gemma":[0.9995958,0.00001641795,0.0001137957,0.0001120889,0.00001974038,0.0001422216],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006811621,0.0001039976,0.8776653,0.00000775046,0.0000237437,0.000003286445,0.002874374,0.000005197467,0.000002380527,0.01622061,0.099764,0.003261262],"study_design_scores_gemma":[0.0009115066,0.00005272351,0.9598937,0.00001669573,7.375471e-7,0.00009160635,0.001518551,0.00009807866,0.000002198765,0.0004495108,0.03687243,0.00009224704],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8557745,0.0005923321,0.00002035422,0.1359237,0.002611065,0.0001876869,0.0002395831,0.00001158283,0.004639247],"genre_scores_gemma":[0.9882879,0.000267633,0.0002242289,0.009588796,0.0004577483,0.00002365895,0.0000917561,0.00001024363,0.001048047],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1325134,"threshold_uncertainty_score":0.4378621,"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."}}