{"id":"W2182395173","doi":"10.1016/s1701-2163(15)30835-5","title":"Predicting Preterm Birth in Twin Pregnancy: Was the Previous Birth Preterm? A Canadian Experience","year":2013,"lang":"en","type":"article","venue":"Journal of Obstetrics and Gynaecology Canada","topic":"Assisted Reproductive Technology and Twin Pregnancy","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine","funders":"","keywords":"Medicine; Obstetrics; Pregnancy; Twin Pregnancy; Preeclampsia; Gestational age; Premature birth; Retrospective cohort study; Risk factor; Cohort; Singleton; Confounding; Birth weight; Cohort study; Birth certificate; Fetus; Population; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.003182308,0.0004981138,0.0008885696,0.001271786,0.00499658,0.001811386,0.001040618,0.001004442,0.001303671],"category_scores_gemma":[0.01323099,0.0004784655,0.0006381472,0.003435586,0.0009948579,0.0006368145,0.00110338,0.002061481,0.000139091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02277921,"about_ca_system_score_gemma":0.04217085,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.981054,"about_ca_topic_score_gemma":0.9871573,"domain_scores_codex":[0.9983137,0.0003396638,0.0001484972,0.0001715665,0.0007208499,0.0003058182],"domain_scores_gemma":[0.9915478,0.001522764,0.0006467802,0.0001633143,0.003794851,0.002324527],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004599199,0.0002374497,0.9455336,0.0001312836,0.000110363,0.001658574,0.01579403,0.0003150219,0.0003482054,0.0004877702,0.003630833,0.0312929],"study_design_scores_gemma":[0.00007863696,0.0002678446,0.9523209,0.0005065221,0.0002398183,0.002060612,0.03208145,0.001074485,0.0001934455,0.0003104329,0.01070234,0.0001635592],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9852493,0.004658113,0.0002266338,0.003675812,0.0001379791,0.00007014991,0.000540733,0.000005301587,0.005435884],"genre_scores_gemma":[0.9900691,0.007659289,0.0006469104,0.0004242799,0.00005809479,0.00002239416,0.0003250168,0.00001378042,0.0007811498],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02277921,"threshold_uncertainty_score":0.1652755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01145884514317169,"score_gpt":0.22591765276718,"score_spread":0.2144588076240083,"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."}}