{"id":"W4410944143","doi":"10.1101/2025.06.02.25328798","title":"Maternal Profiles Account for Birth Weight Differences Across Ethnicities: Results from Three Canadian Birth Cohorts","year":2025,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Birth, Development, and Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Children's Hospital; SickKids Foundation; University of Toronto; Impact; Population Health Research Institute; Thrombosis and Atherosclerosis Research Institute; University of Alberta; McMaster University; University of British Columbia; Hospital for Sick Children; University of Manitoba; St. Joseph’s Healthcare Hamilton","funders":"Canadian Institutes of Health Research; Partenariat Canadien Contre Le Cancer; Indian Council of Medical Research; Children's Hospital Foundation; McMaster University; Children's Health Research Institute; Heart and Stroke Foundation of Canada","keywords":"Ethnic group; Demography; Birth weight; Obstetrics; Medicine; Pregnancy; Biology; Sociology; Genetics; Anthropology","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":[0.002347409,0.001106911,0.0006744186,0.002251338,0.004365143,0.001639801,0.002498676,0.0007725695,0.002666685],"category_scores_gemma":[0.004125743,0.0006495271,0.002425797,0.005530295,0.0008034552,0.0003988728,0.001904931,0.0009771168,0.0004305427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01620517,"about_ca_system_score_gemma":0.02061717,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9936,"about_ca_topic_score_gemma":0.9938531,"domain_scores_codex":[0.9985209,0.0001087958,0.0001111405,0.0003726479,0.0004326156,0.0004539696],"domain_scores_gemma":[0.9971143,0.0002512939,0.0003788815,0.0003251176,0.001398263,0.0005322694],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001772365,0.00001984337,0.9910158,0.0000477734,0.0003001872,0.0001200589,0.001060351,0.0001682385,0.0002469534,0.0001831878,0.001106589,0.005553636],"study_design_scores_gemma":[0.00001066457,0.00001771836,0.9975572,0.00003251334,0.0001654655,0.00006667551,0.0008322398,0.0002377059,0.00006730299,0.00003958973,0.0009558941,0.00001713177],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9840767,0.001667469,0.0006034613,0.0003514662,0.00002845553,0.0000772082,0.01086106,0.00004432172,0.002289851],"genre_scores_gemma":[0.9897099,0.001192833,0.0009373382,0.0001358166,0.000007992729,0.00005599662,0.006333508,0.00003424771,0.00159245],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01620517,"threshold_uncertainty_score":0.1175773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04507343857992552,"score_gpt":0.3168814013486034,"score_spread":0.2718079627686779,"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."}}