{"id":"W2277643888","doi":"10.1002/uog.15894","title":"Ultrasound‐based gestational‐age estimation in late pregnancy","year":2016,"lang":"en","type":"article","venue":"Ultrasound in Obstetrics and Gynecology","topic":"Pregnancy and preeclampsia studies","field":"Medicine","cited_by":179,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children","funders":"University of Oxford; Universidade Federal de Pelotas; National Institute for Health and Care Research; University of Washington; Bill and Melinda Gates Foundation","keywords":"Medicine; Ultrasound; Obstetrics; Gestational age; Pregnancy; Population; Gestation; Concordance; Fetus; Crown-rump length; Gynecology; Radiology; Internal medicine; First trimester","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":[0.003528091,0.0005367041,0.0005458442,0.001580719,0.0001556362,0.0007216543,0.0006243447,0.0005415314,0.0009096963],"category_scores_gemma":[0.01771624,0.0002385094,0.0002747503,0.001014346,0.0001783385,0.0003885525,0.0005635703,0.0004923752,0.0004435644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003321936,"about_ca_system_score_gemma":0.0004627853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004739776,"about_ca_topic_score_gemma":0.00334393,"domain_scores_codex":[0.9977768,0.001636597,0.0001461848,0.0001810495,0.0001874446,0.00007191912],"domain_scores_gemma":[0.995249,0.002976016,0.0009188234,0.0001917192,0.0005424154,0.0001220618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009509021,0.00008341756,0.9097686,0.0001149176,0.00007234019,0.0002090914,0.0002026354,0.004474861,0.001906529,0.000260724,0.00084048,0.08111556],"study_design_scores_gemma":[0.0001056527,0.00121006,0.8799421,0.0002821459,0.0001809141,0.001501036,0.0005368656,0.1066273,0.004552319,0.001095203,0.003907658,0.00005881847],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.956269,0.00346978,0.03496709,0.0003725004,0.00007880529,0.0001148696,0.00184402,0.000199606,0.002684419],"genre_scores_gemma":[0.9796555,0.0009223857,0.01772706,0.00006855893,0.00003087883,0.0001033815,0.0008516204,0.00001574918,0.0006249663],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004739776,"threshold_uncertainty_score":0.01865852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01927549841436347,"score_gpt":0.2687847750301078,"score_spread":0.2495092766157444,"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."}}