{"id":"W2174114847","doi":"10.1002/uog.14959","title":"OC02.02: Prediction of perinatal outcomes by third trimester fetal biometry and maternal characteristics","year":2015,"lang":"en","type":"article","venue":"Ultrasound in Obstetrics and Gynecology","topic":"Pregnancy and preeclampsia studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier Universitaire Sainte-Justine; Université de Montréal","funders":"","keywords":"Medicine; Obstetrics; Neonatal intensive care unit; Apgar score; Fetal distress; Fetus; Prospective cohort study; Pregnancy; Internal medicine; Pediatrics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002131427,0.0008025966,0.0004497333,0.0008370692,0.0003084942,0.001244847,0.001170862,0.0006132351,0.003939104],"category_scores_gemma":[0.006212048,0.0003185479,0.0007375038,0.001106905,0.0002666164,0.0002559025,0.0006699191,0.0007062504,0.0007648377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001502976,"about_ca_system_score_gemma":0.003876471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1952935,"about_ca_topic_score_gemma":0.1590749,"domain_scores_codex":[0.9992039,0.000247406,0.00003970727,0.0001374469,0.0002106362,0.000161064],"domain_scores_gemma":[0.9971585,0.0009186188,0.0005528666,0.0001967849,0.0005733483,0.0005999223],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005696374,0.00004804421,0.9899232,0.00001876845,0.0001276118,0.00004916455,0.00003469268,0.0003879422,0.0003245932,0.00005040227,0.0008643782,0.007601521],"study_design_scores_gemma":[0.00005464312,0.0002303672,0.9880638,0.00001773512,0.0001541945,0.000197167,0.00007088603,0.009058537,0.000424216,0.00009332121,0.001621574,0.00001354182],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9880968,0.0007579263,0.001518403,0.0004147445,0.00005038394,0.00005539861,0.005931094,0.0001346313,0.003040536],"genre_scores_gemma":[0.9916474,0.000163594,0.001815469,0.0001051384,0.00003265574,0.00003902778,0.003638097,0.00003878579,0.002519823],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1952935,"threshold_uncertainty_score":0.3883136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02059757171239608,"score_gpt":0.2593173905244859,"score_spread":0.2387198188120899,"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."}}