{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001623957,0.0004365907,0.000597472,0.001771016,0.003063252,0.001472028,0.001463064,0.0005587834,0.005983188],"category_scores_gemma":[0.004643902,0.0002085173,0.001330746,0.003722174,0.001271464,0.000438688,0.001995951,0.0009621392,0.0002315627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01599043,"about_ca_system_score_gemma":0.0369754,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9887327,"about_ca_topic_score_gemma":0.9912031,"domain_scores_codex":[0.9985347,0.0001525019,0.0000724756,0.0002611998,0.0003267035,0.0006523706],"domain_scores_gemma":[0.9970188,0.000404696,0.0005070444,0.000132118,0.001000425,0.0009369246],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001668918,0.00002096845,0.9895871,0.00006991057,0.0001491413,0.0001424727,0.0008737251,0.000130344,0.00006467551,0.0005743381,0.002004986,0.006215497],"study_design_scores_gemma":[0.00001508888,0.00003017282,0.995027,0.0001582853,0.00009469076,0.00007571772,0.002288349,0.000312205,0.0000446862,0.0001774436,0.001757325,0.00001905838],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9803934,0.004224427,0.0002871263,0.001727911,0.0001099963,0.00005280363,0.007360912,0.00004026293,0.005803278],"genre_scores_gemma":[0.9964417,0.0007893443,0.0001729325,0.0002066412,0.00001142717,0.00001438841,0.001369732,0.00001127058,0.0009826261],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01599043,"threshold_uncertainty_score":0.1160192,"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."}}