{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002237276,0.0001971066,0.0004556552,0.0004300391,0.0001912301,0.00002599468,0.0002948456,0.0002355951,0.000247957],"category_scores_gemma":[0.004357514,0.0001318164,0.00006288586,0.0006003321,0.0002454948,0.0001735542,0.00006851616,0.0008916766,0.000001089509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009788822,"about_ca_system_score_gemma":0.002715299,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2053745,"about_ca_topic_score_gemma":0.4444793,"domain_scores_codex":[0.9982145,0.0001003413,0.0006250079,0.000287626,0.0002679507,0.0005045376],"domain_scores_gemma":[0.997879,0.0007244317,0.0004108066,0.0003638133,0.0003041233,0.0003178739],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000004140851,0.00003724769,0.9421024,0.00007522587,0.00008106157,0.001779652,0.0008463047,0.000008239044,0.00002012153,0.00005022041,0.0002795195,0.05471583],"study_design_scores_gemma":[0.001349833,0.0004329963,0.9914173,0.0001523177,0.00004834517,0.0005822701,0.0009586622,0.0001444691,0.0001182128,0.0002408014,0.004408005,0.0001468258],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.971548,0.0213541,0.000005669216,0.001787219,0.003098864,0.0006548924,0.000008449907,0.00001132354,0.001531526],"genre_scores_gemma":[0.998279,0.0003944684,0.0001862028,0.0004112774,0.0000328784,0.00004531632,9.170215e-7,0.00001813211,0.0006317618],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2391049,"threshold_uncertainty_score":0.799917,"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."}}