{"id":"W2252293495","doi":"10.1016/s1701-2163(16)30070-6","title":"Risk of Preterm Birth According to Maternal and Paternal Country of Birth: A Population-Based Study","year":2015,"lang":"en","type":"article","venue":"Journal of Obstetrics and Gynaecology Canada","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Institute for Clinical Evaluative Sciences; St. Michael's Hospital","funders":"Canadian Institutes of Health Research; Hospital for Sick Children","keywords":"Medicine; Premature birth; Obstetrics; Population; Demography; Pregnancy; Environmental health; Gestational age; Genetics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"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":[0.0007581236,0.0005555935,0.0006761467,0.001427821,0.001676935,0.001273208,0.0008330215,0.001313838,0.002215545],"category_scores_gemma":[0.002938581,0.00138654,0.001262523,0.002668658,0.0009216988,0.001149118,0.001090596,0.001677107,0.0004084662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008085746,"about_ca_system_score_gemma":0.0008175966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05786856,"about_ca_topic_score_gemma":0.05585669,"domain_scores_codex":[0.9989092,0.0003200163,0.00009762123,0.0002913042,0.000155644,0.0002261918],"domain_scores_gemma":[0.9976339,0.0003946685,0.0006939542,0.0002306074,0.0003026557,0.0007442081],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001851088,0.0001160214,0.9988161,0.000003867337,0.00009472792,0.00008093264,0.0002418649,0.00001223321,0.0001298506,0.00001172543,0.00003718833,0.0002704104],"study_design_scores_gemma":[0.00001187165,0.0001822322,0.9986388,0.000004563464,0.00004992086,0.00021408,0.0007359915,0.0000686406,0.0000173473,0.00001637592,0.00005236109,0.000007764869],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994122,0.00008789953,0.00004748604,0.00002923636,0.000005109248,0.000006262901,0.0001821267,0.000001442568,0.0002282114],"genre_scores_gemma":[0.999352,0.0001002208,0.0000586093,0.00003554206,0.000007875089,0.00000944226,0.0001919836,0.000003006455,0.0002413074],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05786856,"threshold_uncertainty_score":0.1150634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01888497897500969,"score_gpt":0.2790200396818086,"score_spread":0.2601350607067989,"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."}}