{"id":"W4312211623","doi":"10.17269/s41997-022-00727-4","title":"Assessing the migrant mortality advantage among foreign-born and interprovincial migrants in Manitoba, Canada","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Public Health","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Manitoba; Manitoba Health","funders":"Canadian Institutes of Health Research","keywords":"Immigration; Demography; Poisson regression; Medicine; Incidence (geometry); Rate ratio; Refugee; Mortality rate; Confidence interval; Geography; Environmental health; Population; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.000875622,0.0004281248,0.0003305253,0.001868037,0.001885685,0.0009293039,0.00141097,0.0003040081,0.001112519],"category_scores_gemma":[0.002022502,0.0003063988,0.0004624056,0.00309412,0.000603842,0.0002835066,0.001047289,0.0005004375,0.0001365429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01483459,"about_ca_system_score_gemma":0.0218762,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9913539,"about_ca_topic_score_gemma":0.9950883,"domain_scores_codex":[0.9994839,0.00006094381,0.00003895304,0.00009569894,0.0001334724,0.0001870167],"domain_scores_gemma":[0.9986235,0.00007162927,0.0003272917,0.00003907742,0.0006350212,0.0003035371],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002457442,0.000008624236,0.997855,0.0000187606,0.00002940323,0.000042018,0.0003357321,0.00004539163,0.00006146497,0.00002485134,0.0001874309,0.001366765],"study_design_scores_gemma":[0.000004064722,0.00001429174,0.9982116,0.00003730805,0.00002368219,0.0000364671,0.001212922,0.0001195168,0.00004012617,0.000009606523,0.0002858333,0.000004618038],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964328,0.0008827167,0.0001047498,0.000154084,0.000008088306,0.00003514466,0.001644021,0.000006543966,0.0007319064],"genre_scores_gemma":[0.9970771,0.0007844353,0.0002725577,0.00006460879,0.000005083605,0.00002680946,0.001121666,0.0000032023,0.0006445199],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01483459,"threshold_uncertainty_score":0.107633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05855568488872748,"score_gpt":0.3370649580465152,"score_spread":0.2785092731577877,"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."}}