{"id":"W3089428236","doi":"10.1186/s12884-020-03258-3","title":"Anthropometrical measurements and maternal visceral fat during first half of pregnancy: a cross-sectional survey","year":2020,"lang":"en","type":"article","venue":"BMC Pregnancy and Childbirth","topic":"Gestational Diabetes Research and Management","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto","funders":"Hospital de Clínicas de Porto Alegre; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Pró-Reitoria de Pesquisa, Universidade Federal do Rio Grande do Sul; Fundação Instituto de Pesquisas Econômicas; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Medicine; Anthropometry; Pregnancy; Body mass index; Cross-sectional study; Obstetrics; Gestational age; Ultrasound; Demography; Gynecology; Internal medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001032444,0.0002084583,0.0002633207,0.0006216899,0.0003510744,0.0004088415,0.0003250237,0.000381669,0.0009049631],"category_scores_gemma":[0.002184547,0.0005197488,0.0003444797,0.001112394,0.0001989829,0.0004341825,0.0003768158,0.0004758505,0.0002782925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002505214,"about_ca_system_score_gemma":0.000308261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006855634,"about_ca_topic_score_gemma":0.00894188,"domain_scores_codex":[0.9994325,0.0001570747,0.00008362628,0.000138876,0.0001246289,0.00006325947],"domain_scores_gemma":[0.9988582,0.0002075737,0.000579239,0.0001220719,0.0001207124,0.0001121127],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001173507,0.00001565734,0.9992868,0.000007508879,0.00001848036,0.00002855674,0.00008659056,0.000008139812,0.00007852337,0.000006285264,0.00003259196,0.0004190985],"study_design_scores_gemma":[0.000001104763,0.00005596503,0.9993702,0.000008347846,0.00001201707,0.0001731697,0.0001977643,0.0000478524,0.00002099872,0.000005661001,0.000105256,0.000001747311],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983726,0.0002508374,0.0001279893,0.00003936061,0.000003731728,0.00002424347,0.0007290188,0.000002966968,0.000449292],"genre_scores_gemma":[0.9988165,0.0002987784,0.0002198594,0.00004056941,0.000004756314,0.00003631902,0.0004277757,0.000001494186,0.0001539137],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006855634,"threshold_uncertainty_score":0.01363146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07909738515843844,"score_gpt":0.316437661686989,"score_spread":0.2373402765285506,"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."}}