{"id":"W4249548749","doi":"10.21203/rs.2.16250/v1","title":"Anthropometrical measurements and maternal visceral fat during first half of pregnancy: a cross-sectional survey","year":2019,"lang":"en","type":"preprint","venue":"Research Square","topic":"Body Composition Measurement Techniques","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Universidade Federal do Rio Grande do Sul; Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Medicine; Anthropometry; Pregnancy; Body mass index; Obstetrics; Cross-sectional study; Gestational age; Gestation; Ultrasound; Demography; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002828495,0.0003434053,0.0007042898,0.001391536,0.0002751587,0.0002203904,0.000379071,0.0005160515,0.0004167817],"category_scores_gemma":[0.0009543348,0.0003223427,0.0002026962,0.0006190958,0.0005163257,0.000122143,0.001223145,0.001723155,0.00003259408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008246966,"about_ca_system_score_gemma":0.0003724755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001812772,"about_ca_topic_score_gemma":0.0001512927,"domain_scores_codex":[0.9931322,0.0006361688,0.0007225144,0.0009144073,0.003940476,0.0006542382],"domain_scores_gemma":[0.9956372,0.0002334583,0.0002253227,0.000838971,0.002769583,0.0002954668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007797075,0.0004014785,0.9828693,0.00640851,0.000217365,0.00003874752,0.00005145309,0.00003461798,0.008891493,0.00001479058,0.0001758997,0.0001166379],"study_design_scores_gemma":[0.001581633,0.0005635219,0.968601,0.005598204,0.00001738213,0.00004129948,0.000006128362,0.0001522116,0.02308488,0.00008501617,0.000040598,0.000228093],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993801,0.001831477,0.0003575004,0.0001595592,0.0002829974,0.002382854,0.0002428433,0.0001450785,0.0007966722],"genre_scores_gemma":[0.9976089,0.0005277625,0.0006914407,0.000005237724,0.0002064779,0.0001574788,0.0002059221,0.00007123165,0.0005255666],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01426826,"threshold_uncertainty_score":0.9999229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2257310060801085,"score_gpt":0.4597261867972261,"score_spread":0.2339951807171176,"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."}}