{"id":"W2122858480","doi":"10.24095/hpcdp.31.3.04","title":"Estimating gestational age at birth: a population-based derivation-validation study","year":2011,"lang":"en","type":"article","venue":"Chronic diseases and injuries in Canada","topic":"Maternal and Neonatal Healthcare","field":"Health Professions","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto; Institute for Clinical Evaluative Sciences; St. Michael's Hospital","funders":"Ontario Ministry of Health and Long-Term Care; Institute for Clinical Evaluative Sciences","keywords":"Singleton; Gestational age; Birth weight; Medicine; Discriminative model; Gestation; Population; Obstetrics; Linear regression; Pediatrics; Pregnancy; Demography; Statistics; Mathematics; Computer science; Machine learning","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009644689,0.0001132815,0.0001564571,0.00005981241,0.0004993544,0.000006358615,0.00007680831,0.00003210102,0.001215975],"category_scores_gemma":[0.00007858488,0.0001034095,0.00001387273,0.0001082372,0.00002493957,0.0001140716,0.00006219992,0.0001207554,0.000005039707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001605194,"about_ca_system_score_gemma":0.002488658,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9426023,"about_ca_topic_score_gemma":0.9604978,"domain_scores_codex":[0.9987465,0.0001409886,0.000406092,0.0002090075,0.0002369324,0.0002604398],"domain_scores_gemma":[0.9993039,0.0002093315,0.0001487821,0.000140116,0.00005647944,0.0001413935],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007534926,0.00004159619,0.9958706,0.0005073444,0.000005504829,0.00001891871,0.0006346328,0.00007509434,8.411635e-7,0.0003090293,0.000374026,0.002087084],"study_design_scores_gemma":[0.0005568642,0.00009245598,0.9944007,0.0001622526,0.000008864634,2.36794e-7,0.0009187239,0.002632237,0.000005304034,0.0007097437,0.0003974009,0.0001152405],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980829,0.0002718821,0.00003143221,0.0001363395,0.0004590208,0.0005390099,0.0002597569,0.00002307273,0.000196568],"genre_scores_gemma":[0.9987555,0.000006671021,0.0001628718,0.0003780707,0.0001063326,0.0001690453,0.0002417672,0.0000135232,0.000166193],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01789547,"threshold_uncertainty_score":0.999697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04364741326883416,"score_gpt":0.3548487409653478,"score_spread":0.3112013276965137,"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."}}