{"id":"W2061643722","doi":"10.1016/j.ajog.2013.10.814","title":"781: Impact of advanced maternal age on preterm birth","year":2013,"lang":"en","type":"article","venue":"American Journal of Obstetrics and Gynecology","topic":"Cardiovascular Issues in Pregnancy","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre Hospitalier Universitaire Sainte-Justine","funders":"","keywords":"Medicine; Obstetrics; Gestational age; Pregnancy; Odds ratio; Advanced maternal age; Gestational diabetes; Premature birth; Logistic regression; Small for gestational age; Confounding; Retrospective cohort study; Fetus; Gestation; 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":[],"consensus_categories":[],"category_scores_codex":[0.0001633887,0.0001418862,0.0007871981,0.0003772505,0.00002091127,0.00001240957,0.0001224161,0.00005267682,0.0001671338],"category_scores_gemma":[0.002141771,0.0001009675,0.0003745897,0.0003370542,0.0002698678,0.00007968825,0.00004511728,0.0002631157,0.000008223866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001315225,"about_ca_system_score_gemma":0.00008847105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003020393,"about_ca_topic_score_gemma":4.642988e-7,"domain_scores_codex":[0.9988267,0.00008071257,0.0004605739,0.0001346828,0.0002634093,0.0002339532],"domain_scores_gemma":[0.9975672,0.001163446,0.0005340049,0.0002543572,0.000275959,0.0002050062],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001511039,0.0001621533,0.1909155,0.00005412546,0.0008016075,0.001405639,0.0003565785,0.0001483833,0.002632392,0.00004290105,0.0001739194,0.8031557],"study_design_scores_gemma":[0.002928531,0.01235873,0.9791254,0.0001652428,0.00016764,0.001996409,0.0002140109,0.00003661997,0.0007609656,0.0001776042,0.001930354,0.000138532],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956606,0.002564377,0.00006125146,0.00007364427,0.0005773578,0.0001741456,0.000004371925,0.00000564403,0.0008786173],"genre_scores_gemma":[0.9961613,0.001475678,0.002041396,0.0001136757,0.00005285128,0.000003269171,8.721585e-7,0.00001993035,0.0001310517],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8030171,"threshold_uncertainty_score":0.4117335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008307217423372981,"score_gpt":0.2736680856370639,"score_spread":0.2653608682136909,"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."}}