{"id":"W2021781211","doi":"10.1007/s00127-013-0794-8","title":"Predictors of immigrant children’s mental health in Canada: selection, settlement contingencies, culture, or all of the above?","year":2013,"lang":"en","type":"article","venue":"Social Psychiatry and Psychiatric Epidemiology","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":38,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"Canadian Institutes of Health Research","keywords":"Immigration; Mental health; Settlement (finance); Epidemiology; Psychology; Selection (genetic algorithm); Public health; Environmental health; Psychiatry; Medicine; Geography; Economics","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":[0.001513887,0.0004360278,0.0004477234,0.001445442,0.006135896,0.002466855,0.001835153,0.0009704229,0.004171136],"category_scores_gemma":[0.005480392,0.0003546478,0.0007486923,0.003933072,0.002992749,0.0008971884,0.002602342,0.002067144,0.0002360987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0150252,"about_ca_system_score_gemma":0.04069094,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9746661,"about_ca_topic_score_gemma":0.9885085,"domain_scores_codex":[0.9982017,0.000277713,0.00008622993,0.0001456308,0.0002308106,0.001057746],"domain_scores_gemma":[0.9951416,0.0005090738,0.001087176,0.0002120704,0.001115699,0.001934356],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003360744,0.00002806077,0.9964494,0.000006879631,0.00003002576,0.0000740563,0.001230707,0.00004655531,0.00003196466,0.0001581573,0.0004261644,0.001484327],"study_design_scores_gemma":[0.000004941214,0.00002079246,0.9825323,0.00007029947,0.0000242647,0.00008361871,0.01631303,0.0001677952,0.00003792752,0.0001091748,0.0006190725,0.00001699207],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967089,0.0004057199,0.00004827041,0.001106384,0.00002315896,0.000009444846,0.0004134825,0.000003803553,0.001280804],"genre_scores_gemma":[0.9990532,0.0002394744,0.0000672336,0.0001253547,0.0000085536,0.000006587131,0.0002249074,0.00000402603,0.0002707293],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02533388,"threshold_uncertainty_score":0.1090159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01886462030871099,"score_gpt":0.308708411264177,"score_spread":0.289843790955466,"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."}}