{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008243953,0.0002210074,0.0002618341,0.0005836205,0.0003063018,0.0003854577,0.0003155259,0.0003736706,0.001085654],"category_scores_gemma":[0.001862809,0.0005056871,0.0003468896,0.001012722,0.0001982005,0.0003711089,0.000334794,0.0004334616,0.0002280176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000220146,"about_ca_system_score_gemma":0.0002751377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006331945,"about_ca_topic_score_gemma":0.008379792,"domain_scores_codex":[0.9994479,0.0001561954,0.00008318411,0.0001314099,0.0001148638,0.00006648734],"domain_scores_gemma":[0.9989619,0.0001923756,0.0005246454,0.00009659691,0.0001079421,0.0001165592],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001206073,0.00001963326,0.9992777,0.00000775333,0.00001932184,0.00003122647,0.00007848223,0.000008068618,0.0001061507,0.000006396525,0.0000260492,0.000407128],"study_design_scores_gemma":[0.000001286217,0.00005877516,0.9993799,0.00000727025,0.00001352729,0.0001520527,0.0002012069,0.00005964723,0.00002804743,0.000005998812,0.00009044163,0.00000187585],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987183,0.000186972,0.000111943,0.00003085563,0.00000318508,0.00002252483,0.0005156621,0.000002400664,0.0004083006],"genre_scores_gemma":[0.999288,0.0001598957,0.0001443523,0.00002863589,0.000003474143,0.00002450883,0.0002324875,9.170846e-7,0.0001177899],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006331945,"threshold_uncertainty_score":0.01259017,"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."}}