{"id":"W3112825011","doi":"10.1016/j.jogc.2020.11.019","title":"Maternal Visceral Adipose Tissue and Risk of Having a Small or Large for Gestational Age Infant","year":2020,"lang":"en","type":"article","venue":"Journal of Obstetrics and Gynaecology Canada","topic":"Gestational Diabetes Research and Management","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Michael's Hospital; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Percentile; Gestational age; Obstetrics; Small for gestational age; Population; Odds ratio; Logistic regression; Gestation; Birth weight; Prospective cohort study; Pregnancy; Internal medicine; Statistics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0005100719,0.0004024724,0.0003447215,0.0007697781,0.0004298743,0.0008434425,0.0006597143,0.0009945726,0.004139315],"category_scores_gemma":[0.004791684,0.0004877369,0.0008491141,0.0008505895,0.0004462256,0.0002710264,0.0003989523,0.001449878,0.0002260092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006050976,"about_ca_system_score_gemma":0.001008063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05141245,"about_ca_topic_score_gemma":0.03594625,"domain_scores_codex":[0.9996552,0.00008658921,0.00002534664,0.00006171537,0.0000694742,0.0001016237],"domain_scores_gemma":[0.9963548,0.00104541,0.001393246,0.0002616487,0.0002012072,0.0007437442],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003306704,0.00003082947,0.9972959,0.0000121745,0.00009463869,0.0003437921,0.00004761751,0.00007229048,0.0002173457,0.0001071879,0.0001221933,0.001325158],"study_design_scores_gemma":[0.00001572544,0.0001774078,0.9968003,0.00005602762,0.0001396231,0.001297809,0.0002712655,0.0006764018,0.000100865,0.0001699034,0.000277727,0.00001692134],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942194,0.002091072,0.000141064,0.0004896309,0.00006218936,0.000007604031,0.00064899,0.00001128548,0.002328658],"genre_scores_gemma":[0.9978345,0.0009917928,0.0001891515,0.00005690153,0.00005287342,0.000004810538,0.0002248594,0.000004593703,0.0006405105],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05141245,"threshold_uncertainty_score":0.1022264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01987170437487548,"score_gpt":0.2656898262211277,"score_spread":0.2458181218462523,"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."}}