{"id":"W2901115623","doi":"10.1016/j.diabres.2018.11.010","title":"Reprint of “Development of a risk engine relating maternal glycemia and body mass index to pregnancy outcomes”","year":2018,"lang":"en","type":"review","venue":"Diabetes Research and Clinical Practice","topic":"Gestational Diabetes Research and Management","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Canada Research Chairs","funders":"","keywords":"Medicine; Reprint; Body mass index; Pregnancy; Diabetes mellitus; Obstetrics; Index (typography); Internal medicine; Endocrinology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.007970677,0.0003081741,0.001748685,0.0005363662,0.0001270883,0.00005851794,0.0002879133,0.000296448,0.00006994371],"category_scores_gemma":[0.04819676,0.0002302553,0.0002210762,0.0005330372,0.0004313361,0.0001643926,0.0009307521,0.001614843,0.00005926306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009591859,"about_ca_system_score_gemma":0.0006477702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004138165,"about_ca_topic_score_gemma":0.000003822271,"domain_scores_codex":[0.9939873,0.001008066,0.001992641,0.0007799517,0.001518959,0.0007131164],"domain_scores_gemma":[0.9848561,0.01178843,0.0007763025,0.0006514718,0.001190209,0.0007374855],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002026376,0.0004861604,0.06416158,0.02095793,0.001439031,0.00002785248,0.00007890735,1.56163e-7,0.000003711894,0.0001268555,0.0002303772,0.9122848],"study_design_scores_gemma":[0.002378473,0.003548091,0.2023844,0.0443391,0.000981934,0.000004734605,0.0002471072,0.0001170728,0.00004035092,0.0005721741,0.7449371,0.0004495588],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.05004289,0.942424,0.0001589361,0.0003715901,0.0001316116,0.003612745,0.0001120431,0.00002873207,0.003117422],"genre_scores_gemma":[0.006041317,0.9727602,0.02006339,0.00003706336,0.00007876158,0.0001325107,0.00005747103,0.00004882432,0.0007804726],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9118353,"threshold_uncertainty_score":0.9598207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1341918462148434,"score_gpt":0.511315666671218,"score_spread":0.3771238204563745,"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."}}