{"id":"W2990847696","doi":"10.25318/82-003-x201900400001-eng","title":"Healthy immigrant effect by immigrant category in Canada","year":2019,"lang":"en","type":"article","venue":"PubMed","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":95,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Immigration; Refugee; Socioeconomic status; Demography; Medicine; Logistic regression; Confounding; Gerontology; Geography; Environmental health; Population; Sociology","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":[0.0006546102,0.0001851351,0.0003351729,0.0001043407,0.00004876329,0.00001109903,0.0001849492,0.00009908401,0.0004116149],"category_scores_gemma":[0.00002416034,0.0001643828,0.00004842868,0.000255589,0.00001581192,0.00005336161,0.0000123886,0.0002887984,0.0002772397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005204768,"about_ca_system_score_gemma":0.0003690449,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9901192,"about_ca_topic_score_gemma":0.9907485,"domain_scores_codex":[0.9976754,0.0002757104,0.0004262838,0.0004117266,0.0002303685,0.0009805727],"domain_scores_gemma":[0.9989189,0.0002117186,0.0001049206,0.0004022962,0.00002107303,0.0003411278],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001035943,0.0001691733,0.717457,0.0002595309,0.00005590862,0.00005450722,0.003554756,0.000007733311,0.00001800979,0.0007769936,0.1413986,0.1352119],"study_design_scores_gemma":[0.002110301,0.00007351071,0.9587985,0.000004563567,0.000006487238,0.00001073962,0.0005847898,0.00001257847,0.0000595184,0.00002999013,0.03812584,0.0001831725],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869297,0.00272002,0.000004593635,0.001945182,0.001797748,0.001932226,0.00004541235,0.00003427241,0.004590888],"genre_scores_gemma":[0.9931146,0.00003302417,0.000002158225,0.002524549,0.00006955534,0.002088015,0.00006206728,0.00002504871,0.002080969],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2413415,"threshold_uncertainty_score":0.6703334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00873551350346063,"score_gpt":0.2383257057241149,"score_spread":0.2295901922206542,"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."}}