{"id":"W2327799298","doi":"10.3109/14767058.2016.1163679","title":"Pre-pregnancy body mass index (BMI) and macrosomia in a Canadian birth cohort","year":2016,"lang":"en","type":"article","venue":"The Journal of Maternal-Fetal & Neonatal Medicine","topic":"Gestational Diabetes Research and Management","field":"Medicine","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Medicine; Obstetrics; Fetal macrosomia; Pregnancy; Overweight; Body mass index; Gestational diabetes; Birth weight; Gestation; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0006656056,0.0003553451,0.0003388575,0.001026573,0.001942651,0.0007751794,0.0008770319,0.0004279418,0.001985006],"category_scores_gemma":[0.001513288,0.0003569234,0.0004676429,0.001795398,0.000364938,0.0002727438,0.0005889887,0.0005892759,0.0001710656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006498833,"about_ca_system_score_gemma":0.008682813,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9771225,"about_ca_topic_score_gemma":0.9753504,"domain_scores_codex":[0.9994875,0.0000307664,0.00002032038,0.00009827912,0.0002036647,0.0001594707],"domain_scores_gemma":[0.9992829,0.00003788735,0.0001527727,0.00004104515,0.0002311432,0.0002544307],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000745021,0.00001747777,0.9970589,0.00001485417,0.00004856769,0.00009325561,0.0002258068,0.0000535967,0.0002175103,0.00006611987,0.0005664291,0.001563],"study_design_scores_gemma":[0.000004765148,0.00001476524,0.9992707,0.00001171077,0.00001671429,0.00005693254,0.0001584249,0.0001484073,0.00001747678,0.00001056071,0.0002857433,0.000003774777],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944599,0.0005332387,0.00008634183,0.0002463963,0.00001204887,0.0000297789,0.003353569,0.000008335272,0.001270411],"genre_scores_gemma":[0.9973569,0.000432954,0.0001293529,0.00005202149,0.000005482475,0.00001411469,0.001459366,0.000003365488,0.0005465653],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02287745,"threshold_uncertainty_score":0.04715252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006923728702971233,"score_gpt":0.2647158743708866,"score_spread":0.2577921456679153,"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."}}