{"id":"W4415655792","doi":"10.1002/ijgo.70608","title":"Inequalities in preterm birth among immigrants to Canada by race and time since immigration: A population‐based repeated cross‐sectional study","year":2025,"lang":"en","type":"article","venue":"International Journal of Gynecology & Obstetrics","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research; Agency for Healthcare Research and Quality; McGill University","keywords":"Immigration; Population; Census; Race (biology); Premature birth; Inequality; Epidemiology; Public health; Birth rate","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":[0.001414937,0.0008294453,0.0008849056,0.001898822,0.004921138,0.001833118,0.002971694,0.001239761,0.002527519],"category_scores_gemma":[0.002949167,0.0007210115,0.001669901,0.005204298,0.001168077,0.0006948264,0.00173245,0.001568308,0.0004708161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02223499,"about_ca_system_score_gemma":0.02929765,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9839146,"about_ca_topic_score_gemma":0.9858942,"domain_scores_codex":[0.9984084,0.000114321,0.0001270895,0.0003915466,0.0004316022,0.0005271424],"domain_scores_gemma":[0.9971233,0.000148201,0.0005897286,0.0002374371,0.001183407,0.000717904],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001128675,0.00009386509,0.9966345,0.00004078443,0.0001823529,0.00005706191,0.0005608381,0.00006576622,0.00008759875,0.00008662014,0.0008748213,0.001202862],"study_design_scores_gemma":[0.00001949961,0.00005755531,0.9975776,0.00005712647,0.00007807764,0.00006132968,0.001034491,0.0002821176,0.00003463557,0.00002815869,0.0007456475,0.00002381265],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887297,0.00088546,0.0001534467,0.0002176399,0.00002494393,0.0001613835,0.008734174,0.00001641185,0.001076868],"genre_scores_gemma":[0.9925495,0.0006088208,0.0004287991,0.0003268385,0.00002740714,0.0001395853,0.005068243,0.00001349651,0.0008370911],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02223499,"threshold_uncertainty_score":0.1613269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0130091175524003,"score_gpt":0.3186816339042377,"score_spread":0.3056725163518374,"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."}}