{"id":"W2053859108","doi":"10.1111/j.1365-3016.2010.01101.x","title":"The predictive ability of conditional fetal growth percentiles","year":2010,"lang":"en","type":"article","venue":"Paediatric and Perinatal Epidemiology","topic":"Birth, Development, and Health","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; McGill University","funders":"","keywords":"Medicine; Percentile; Apgar score; Birth weight; Small for gestational age; Pediatrics; Gestational age; Obstetrics; Fetus; Pregnancy; Intrauterine growth restriction; Low birth weight; Statistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.006531609,0.0008009849,0.0005369884,0.002451,0.000214948,0.00110535,0.0007793026,0.0004819281,0.002172893],"category_scores_gemma":[0.06421524,0.000265203,0.0009072125,0.001591591,0.0006403124,0.001141898,0.0009074364,0.001195093,0.0003381273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004681928,"about_ca_system_score_gemma":0.0008011685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01467111,"about_ca_topic_score_gemma":0.007217912,"domain_scores_codex":[0.9972345,0.00127754,0.0002274984,0.0004989615,0.0005239513,0.0002375363],"domain_scores_gemma":[0.9427981,0.04318091,0.005742889,0.003757899,0.003196384,0.001323816],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003286312,0.00001530471,0.9817973,0.00002232568,0.0001744943,0.00005960952,0.000048234,0.004219298,0.0001042894,0.0005432084,0.0004059641,0.01228129],"study_design_scores_gemma":[0.00003710883,0.0003463167,0.9252043,0.00008478813,0.0003210983,0.001000715,0.0001989803,0.06667128,0.0009726948,0.003799577,0.001294341,0.00006882421],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9721715,0.001579462,0.01694313,0.0005822526,0.0001146083,0.00004052509,0.00482432,0.0004078106,0.003336526],"genre_scores_gemma":[0.9958152,0.000238267,0.002260969,0.00002462115,0.00003072846,0.00001512926,0.001450492,0.00002081168,0.0001437121],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01467111,"threshold_uncertainty_score":0.03454286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02117241857931849,"score_gpt":0.3085069338946452,"score_spread":0.2873345153153267,"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."}}