{"id":"W2610650916","doi":"10.1097/01.aog.0000514345.98470.1c","title":"Advanced Maternal Age and Perinatal and Obstetrical Outcomes – A Population-Based Study [37C]","year":2017,"lang":"en","type":"article","venue":"Obstetrics and Gynecology","topic":"Birth, Development, and Health","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Medicine; Obstetrics; Apgar score; Gestational diabetes; Gestational age; Pregnancy; Preeclampsia; Advanced maternal age; Small for gestational age; Population; Retrospective cohort study; Birth weight; Confounding; Cohort study; Low birth weight; Pediatrics; Gestation; Fetus; Internal medicine","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":[0.001029292,0.0002662112,0.0003460056,0.0008702028,0.0004815781,0.0009814005,0.0005514054,0.0003978484,0.001447918],"category_scores_gemma":[0.001812149,0.0002711109,0.0005359815,0.00206312,0.0003325887,0.0003716346,0.0004187514,0.000656697,0.0002061626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009875491,"about_ca_system_score_gemma":0.001482975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1028344,"about_ca_topic_score_gemma":0.1257184,"domain_scores_codex":[0.9993268,0.0001102806,0.00005837098,0.000150312,0.0002342616,0.0001199851],"domain_scores_gemma":[0.9991668,0.00006877402,0.0003948511,0.00007244862,0.0001503238,0.0001468223],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003867016,0.00001250611,0.9981212,0.00003054225,0.00009878086,0.0000667961,0.00005150141,0.00001967288,0.00009529542,0.00002801362,0.0001575395,0.001279411],"study_design_scores_gemma":[0.000002536845,0.00002749627,0.9995756,0.00001659871,0.00003269257,0.00008767528,0.00004253469,0.00002146945,0.0000120516,0.00001087327,0.00016857,0.000001904094],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927193,0.003209295,0.0002451702,0.0003064566,0.00002483472,0.00003702021,0.002028793,0.00001057467,0.001418511],"genre_scores_gemma":[0.9973296,0.0009655415,0.0002479607,0.0001500014,0.00003440215,0.00002041926,0.001030313,0.000002731975,0.0002190154],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1028344,"threshold_uncertainty_score":0.2044718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02707787377174795,"score_gpt":0.3230347472063728,"score_spread":0.2959568734346248,"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."}}