{"id":"W3200490598","doi":"10.21203/rs.3.rs-27918/v4","title":"Which growth standards should be used to identify large- and small-for-gestational age infants of mothers with type 1 diabetes? A pre-specified analysis of the CONCEPTT trial","year":2021,"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":"Lunenfeld-Tanenbaum Research Institute; Sunnybrook Hospital","funders":"Novo Nordisk Fonden; Tommy's; FedDev Ontario; European Foundation for the Study of Diabetes; Novo Nordisk; Diabetes UK; National Institute for Health and Care Research","keywords":"Gestational diabetes; Type 2 diabetes; Medicine; Small for gestational age; Gestational age; Obstetrics; Diabetes mellitus; Pediatrics; Gestation; Pregnancy; Endocrinology; Biology","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":[0.03366447,0.002308386,0.006587546,0.000465847,0.0007966977,0.002922309,0.002091156,0.005743806,0.006050454],"category_scores_gemma":[0.0807277,0.0009221564,0.00913786,0.0007787473,0.002192305,0.005066366,0.001905049,0.008588912,0.0009621039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001316372,"about_ca_system_score_gemma":0.002771909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003022879,"about_ca_topic_score_gemma":0.003119589,"domain_scores_codex":[0.9698331,0.0245995,0.001628991,0.001820718,0.001026941,0.001090737],"domain_scores_gemma":[0.9591234,0.03272018,0.003017527,0.002603268,0.001095037,0.001440597],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.8873141,0.001041372,0.02518338,0.003895358,0.02681924,0.000150724,0.0004615916,0.001766293,0.0005138514,0.003283788,0.00508047,0.04448992],"study_design_scores_gemma":[0.7263806,0.05928727,0.06752653,0.004567964,0.08649783,0.0003211173,0.001140859,0.01000369,0.002042756,0.03078907,0.01112962,0.0003126781],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8379946,0.07491517,0.01766138,0.03946727,0.009018182,0.00467622,0.005191375,0.0002647254,0.01081102],"genre_scores_gemma":[0.9821993,0.002330059,0.004226312,0.005826745,0.00111539,0.00138717,0.00149135,0.00007663701,0.001347084],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03366447,"threshold_uncertainty_score":0.1780369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1263194249956173,"score_gpt":0.4488066470307305,"score_spread":0.3224872220351132,"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."}}