{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01070461,0.0006792195,0.0005874587,0.0005870624,0.001380627,0.0006244953,0.001266425,0.0006210947,0.001208431],"category_scores_gemma":[0.02984616,0.0004328322,0.0008077394,0.001033434,0.0008487024,0.0003741195,0.000997918,0.00103812,0.0005193739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005036171,"about_ca_system_score_gemma":0.009688088,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6246973,"about_ca_topic_score_gemma":0.5925086,"domain_scores_codex":[0.9965547,0.001648992,0.0002082129,0.0004386396,0.0009472325,0.0002021616],"domain_scores_gemma":[0.9866756,0.004376855,0.001248178,0.00280562,0.004526743,0.0003670189],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002950299,0.0002343965,0.9898564,0.00002494913,0.0001429683,0.00009546727,0.0007956605,0.0007058676,0.0002867376,0.0001091624,0.0006423552,0.006810992],"study_design_scores_gemma":[0.0001618012,0.000314105,0.9913849,0.00003763999,0.0001462974,0.00025273,0.0004739744,0.005695645,0.000355792,0.0001043893,0.00104543,0.00002725281],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953193,0.00007579372,0.00277761,0.00005125551,0.000005022443,0.0002535644,0.000881814,0.00001857299,0.0006171228],"genre_scores_gemma":[0.9923633,0.00009641759,0.004356434,0.00006309889,0.000004926757,0.0002113428,0.00244556,0.00001688193,0.0004419872],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3753027,"threshold_uncertainty_score":0.7550259,"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."}}