{"id":"W3081195206","doi":"10.25318/82-003-x202000800001-eng","title":"The mental health of immigrants and refugees: Canadian evidence from a nationally linked database","year":2020,"lang":"en","type":"article","venue":"PubMed","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Refugee; Immigration; Mental health; Medicine; Database; Gerontology; Political science; Psychiatry; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000423096,0.00006787503,0.000109764,0.00003489325,0.0001927722,0.00001667125,0.0001414834,0.00003520748,0.00007094473],"category_scores_gemma":[0.000218895,0.00005346852,0.00001848193,0.0001259618,0.00004888172,0.00007782042,0.00001476885,0.0001019741,0.00001745684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005129237,"about_ca_system_score_gemma":0.0002440458,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2612943,"about_ca_topic_score_gemma":0.5879241,"domain_scores_codex":[0.9989432,0.0001279591,0.0002641636,0.0002083489,0.000150641,0.000305654],"domain_scores_gemma":[0.9989491,0.0002091467,0.0001058101,0.000170624,0.00003788676,0.000527409],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001004257,0.0001150019,0.1989425,0.000172298,0.000260742,0.00001577751,0.07005994,0.000001244074,0.0000447704,0.007859675,0.2921833,0.4293405],"study_design_scores_gemma":[0.0004097208,0.00002848733,0.9432369,0.00001326417,0.000004033056,0.00000159673,0.0005152383,0.00003537879,0.000005795395,0.00006467452,0.05563438,0.00005047446],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9019544,0.009423308,0.00002537713,0.08580456,0.000376996,0.001085117,0.0009234969,0.00002045116,0.0003863252],"genre_scores_gemma":[0.99336,0.0002731121,0.00008576135,0.005607139,0.0001154479,0.0002730025,0.0001231563,0.0000071144,0.0001552847],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7442944,"threshold_uncertainty_score":0.7436248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05313192122402198,"score_gpt":0.3184565927014313,"score_spread":0.2653246714774093,"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."}}