{"id":"W4294295684","doi":"10.21203/rs.3.rs-1984052/v1","title":"Optimal Plan for Delivery in Women with Obesity: A Large Population-based Retrospective Cohort Study Using the Better Outcomes Registry and Network (BORN) Database","year":2022,"lang":"en","type":"preprint","venue":"Research Square","topic":"Gestational Diabetes Research and Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University; Ottawa Hospital; Children's Hospital of Eastern Ontario","funders":"Ottawa Hospital Research Institute","keywords":"Medicine; Caesarean section; Obstetrics; Gestational age; Population; Gestation; Retrospective cohort study; Adverse effect; Cohort; Birth weight; Pregnancy; Cohort study; Pediatrics; Surgery; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.0008910389,0.0002676632,0.0003747036,0.0008053385,0.0004925348,0.0009896604,0.0005102618,0.0005760739,0.002056891],"category_scores_gemma":[0.003886968,0.0004548708,0.0008000702,0.00157056,0.0001656796,0.0009454641,0.0006520846,0.0009427664,0.0003571075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005951285,"about_ca_system_score_gemma":0.0008706361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01511151,"about_ca_topic_score_gemma":0.01763494,"domain_scores_codex":[0.9993781,0.0001350465,0.00006548219,0.000217081,0.00008808434,0.0001161378],"domain_scores_gemma":[0.9991265,0.0001656377,0.0004144195,0.0001056272,0.00009078151,0.00009714517],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001537369,0.00005433062,0.9983016,0.000009548027,0.00007139677,0.00003697201,0.00004960829,0.00003614636,0.00005613186,0.00004079663,0.0004464191,0.0007433647],"study_design_scores_gemma":[0.00003254535,0.0000814777,0.9982279,0.00002702564,0.00007704383,0.0001471449,0.0005544887,0.0003548325,0.00003693228,0.00007751359,0.0003742535,0.000008903523],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933234,0.0003160528,0.0002040759,0.0001414067,0.0000154996,0.00002729561,0.00545066,0.000005403518,0.0005162764],"genre_scores_gemma":[0.9942595,0.0004108447,0.0003973686,0.00008832994,0.00001619109,0.00004375331,0.00437301,0.0000110822,0.0003999069],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01511151,"threshold_uncertainty_score":0.03004712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04659024828777292,"score_gpt":0.3768533199883208,"score_spread":0.3302630717005479,"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."}}