{"id":"W4308569326","doi":"10.1007/s00592-022-02000-z","title":"Impact of Covid-19 on rates of gestational diabetes in a North American pandemic epicenter","year":2022,"lang":"en","type":"article","venue":"Acta Diabetologica","topic":"COVID-19 Impact on Reproduction","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Université de Sherbrooke; Centre Hospitalier Universitaire Sainte-Justine; Héma-Québec; Institut National de Santé Publique du Québec; Université de Montréal; McGill University Health Centre","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Canada Research Chairs","keywords":"Gestational diabetes; Medicine; Diabetes mellitus; Pandemic; Population; Obstetrics; Gestational age; Pregnancy; Gestation; Internal medicine; Coronavirus disease 2019 (COVID-19); Endocrinology; Environmental health; Disease; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004003421,0.0001622445,0.0005592745,0.0003777424,0.00005371184,0.000003605826,0.000148025,0.00002973558,0.0005681055],"category_scores_gemma":[0.002203412,0.0001285848,0.0001618323,0.0009311358,0.0002188962,0.00005401752,0.00009089249,0.0002900313,0.000003086473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005622162,"about_ca_system_score_gemma":0.0004414234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006434777,"about_ca_topic_score_gemma":0.0001046983,"domain_scores_codex":[0.998329,0.0002410093,0.0004127637,0.0003548707,0.000356767,0.0003055258],"domain_scores_gemma":[0.9982376,0.0007689941,0.0003928144,0.0003828685,0.0000652163,0.0001525833],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005280978,0.0007275218,0.9842174,0.0000724276,0.00009173554,0.00000929502,0.0003942547,0.001164985,0.01046296,0.00001120457,0.00062995,0.001690138],"study_design_scores_gemma":[0.001084972,0.002756828,0.9945116,0.00001022807,0.00003469611,0.000006892665,0.0001874152,0.0001697231,0.0005328765,0.00007160757,0.0005251642,0.0001080048],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963521,0.0000540324,0.00000217331,0.002851955,0.0000446592,0.0004323424,0.0001468091,0.00004126445,0.00007463095],"genre_scores_gemma":[0.9981369,0.00003610449,0.00006098853,0.001477874,0.00002675959,0.000079631,0.0001480311,0.00001442528,0.00001922385],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01029416,"threshold_uncertainty_score":0.6220357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04836036131346373,"score_gpt":0.3719309482253234,"score_spread":0.3235705869118597,"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."}}