{"id":"W4389510092","doi":"10.1016/j.eurox.2023.100270","title":"How does the need for IVF affect pregnancy complications among multiple gestations? The study of a large American population database including almost 100,000 multiple gestations","year":2023,"lang":"en","type":"article","venue":"European Journal of Obstetrics & Gynecology and Reproductive Biology X","topic":"Assisted Reproductive Technology and Twin Pregnancy","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; McGill University","funders":"","keywords":"Medicine; Obstetrics; Gestation; Placenta previa; Pregnancy; Population; Gestational age; Gynecology; Retrospective cohort study; Placenta; Fetus; 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":[0.003782643,0.0002285027,0.0005257389,0.002148514,0.0005969532,0.001370139,0.0008456378,0.000531832,0.001269595],"category_scores_gemma":[0.01983897,0.0003951312,0.0009432933,0.004673684,0.00032251,0.0009762113,0.0009903847,0.0006014059,0.0002118041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006712711,"about_ca_system_score_gemma":0.001117098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01893453,"about_ca_topic_score_gemma":0.02481391,"domain_scores_codex":[0.9954181,0.001905987,0.0008528836,0.0008043155,0.0007976294,0.0002211702],"domain_scores_gemma":[0.9823204,0.005262692,0.008166881,0.002202397,0.001324597,0.0007228635],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003058028,0.00001300306,0.9987835,0.00001711117,0.00009938709,0.00002268925,0.00005808221,0.00001751889,0.00002391559,0.00001488206,0.0001609415,0.0007583448],"study_design_scores_gemma":[0.000007571874,0.00002557797,0.9985858,0.00002717163,0.0001028804,0.000233921,0.0003011225,0.0002701867,0.00003621317,0.00002132191,0.0003818424,0.000006258505],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920226,0.0008680332,0.0003918047,0.0003138439,0.00001410155,0.00005053667,0.005714452,0.000009350662,0.000615356],"genre_scores_gemma":[0.9956013,0.0004037317,0.0005199102,0.0001419425,0.0000206059,0.00008110281,0.003134782,0.000006389161,0.00009016879],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01893453,"threshold_uncertainty_score":0.03764868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05329779208828228,"score_gpt":0.3296052060052661,"score_spread":0.2763074139169838,"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."}}