{"id":"W2044513338","doi":"10.1053/sper.2002.34768","title":"The effect of gestational age errors and their correction in interpreting population trends in fetal growth and gestational age-specific mortality","year":2002,"lang":"en","type":"article","venue":"Seminars in Perinatology","topic":"Birth, Development, and Health","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University Health Centre; McGill University","funders":"","keywords":"Medicine; Gestational age; Fetal growth; Obstetrics; Fetus; Small for gestational age; Fetal weight; Birth weight; Population; Gestation; Pregnancy; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.1211467,0.001531763,0.002052291,0.003772723,0.001065486,0.002622932,0.002780479,0.002718465,0.001683159],"category_scores_gemma":[0.4628785,0.001096983,0.003620199,0.006422148,0.002085286,0.002532615,0.001771393,0.003580537,0.0003907759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001379262,"about_ca_system_score_gemma":0.003544096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04733321,"about_ca_topic_score_gemma":0.04032637,"domain_scores_codex":[0.8635901,0.1127728,0.0107976,0.005326846,0.005614779,0.00189779],"domain_scores_gemma":[0.4515873,0.4747368,0.02231007,0.03366915,0.01614487,0.001551747],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003546786,0.00009941486,0.7936212,0.001330839,0.009801893,0.001971791,0.002746797,0.02098697,0.001354443,0.008330128,0.009115808,0.1470939],"study_design_scores_gemma":[0.0003348929,0.001479379,0.8380544,0.001403233,0.0100339,0.003303484,0.002799615,0.09991772,0.00721052,0.01015413,0.02498127,0.0003275579],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6894725,0.03029608,0.2356857,0.01586592,0.01069614,0.0005105517,0.005299093,0.001235334,0.01093862],"genre_scores_gemma":[0.9351556,0.002201849,0.05616121,0.001295544,0.001337685,0.0001713601,0.000543822,0.0003531273,0.002779888],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1211467,"threshold_uncertainty_score":0.6406926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01893112868170969,"score_gpt":0.2995060098648387,"score_spread":0.280574881183129,"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."}}