{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001456368,0.0001164722,0.0003822309,0.00004952932,0.0002126191,0.000002350816,0.00007527616,0.0001775088,0.0001662708],"category_scores_gemma":[0.002599184,0.00007362609,0.00008416412,0.00008374606,0.000736275,0.00004003228,0.00006329532,0.0004554092,0.000009498842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001827796,"about_ca_system_score_gemma":0.0001997835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001029214,"about_ca_topic_score_gemma":0.00002275553,"domain_scores_codex":[0.9987794,0.0001570731,0.0004242822,0.0002506182,0.00009830702,0.0002902924],"domain_scores_gemma":[0.9974453,0.001949955,0.0001463084,0.0001480929,0.0001310283,0.0001793254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001932647,0.00004036367,0.8141417,0.000183257,0.00003554461,0.000003094719,0.0001590145,1.947591e-7,0.0002048924,0.1806053,0.0009464096,0.003486975],"study_design_scores_gemma":[0.0005110563,0.0002315113,0.9438978,0.000003614401,0.00002785976,0.0001313527,0.00009425613,0.0002570386,0.00002696694,0.0526526,0.002102473,0.00006341616],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902654,0.001410167,0.0003753299,0.004366663,0.0004638673,0.0002554962,0.0001010632,0.00002492183,0.00273708],"genre_scores_gemma":[0.9801888,0.01753918,0.001239958,0.0005391348,0.0003890737,0.00002432656,0.00005162532,0.000006960747,0.00002091318],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1297562,"threshold_uncertainty_score":0.3111654,"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."}}