{"id":"W4411941275","doi":"10.1186/s40748-025-00217-8","title":"Does infant birthweight percentile identify mothers at risk of severe morbidity? A Canadian population-based cohort study","year":2025,"lang":"en","type":"article","venue":"Maternal Health Neonatology and Perinatology","topic":"Gestational Diabetes Research and Management","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Society of Obstetricians and Gynaecologists of Canada; Institute for Clinical Evaluative Sciences; University of Toronto; SickKids Foundation; University of Ottawa; Hospital for Sick Children; St. Michael's Hospital","funders":"Canadian Institutes of Health Research; Ontario Ministry of Health and Long-Term Care","keywords":"Medicine; Percentile; Confidence interval; Relative risk; Population; Obstetrics; Poisson regression; Infant mortality; Gestational age; Pregnancy; Cohort; Cohort study; Pediatrics; Demography; Internal medicine; Statistics; Environmental health","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000377214,0.00014978,0.0005019647,0.0005150377,0.0002553344,0.000008918896,0.0001029502,0.0001112004,0.0005790707],"category_scores_gemma":[0.00006976308,0.0001084572,0.00005163716,0.0001525621,0.0001350189,0.00003158211,0.0000680697,0.0002097526,0.00001232933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002309361,"about_ca_system_score_gemma":0.0004077445,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3996412,"about_ca_topic_score_gemma":0.2611028,"domain_scores_codex":[0.998332,0.0002791194,0.0003963356,0.0003527698,0.000184315,0.0004554425],"domain_scores_gemma":[0.9991193,0.0001348405,0.0001295751,0.0002299189,0.0001032623,0.0002830809],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002998018,0.00010415,0.9946566,0.000781751,0.0002005932,0.00009350943,0.0002155409,0.00002752865,0.000002330876,0.0009375254,0.0002313196,0.002449409],"study_design_scores_gemma":[0.001389625,0.0002827726,0.9835025,0.00005562115,0.00005387927,0.00003422216,0.000165851,0.000450597,0.00002612224,0.0004545241,0.01350359,0.00008066589],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930084,0.00038435,0.00002087181,0.004742081,0.0003131167,0.001069051,0.0001147844,0.00002202812,0.0003252734],"genre_scores_gemma":[0.9966126,0.0002449048,0.0001228224,0.001501063,0.000008587256,0.00009813683,0.0000792725,0.00001069534,0.001321895],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1385384,"threshold_uncertainty_score":0.7523801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007352103067975425,"score_gpt":0.3138873482559834,"score_spread":0.306535245188008,"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."}}