{"id":"W4292675316","doi":"10.1002/jimd.12544","title":"Impact of pregnancy planning and preconceptual dietary training on metabolic control and offspring's outcome in phenylketonuria","year":2022,"lang":"en","type":"article","venue":"Journal of Inherited Metabolic Disease","topic":"Metabolism and Genetic Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"Vitaflo","keywords":"Offspring; Pregnancy; Medicine; Metabolic disease; Metabolic control analysis; Reproductive medicine; Outcome (game theory); Pediatrics; Physiology; Endocrinology; Biology; Genetics; Diabetes mellitus","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":[0.0006498874,0.0001551586,0.0001240336,0.0001799731,0.0001940023,0.0001933577,0.0001602016,0.0001948482,0.0006271217],"category_scores_gemma":[0.002526082,0.0001191033,0.0001334632,0.000145266,0.0002178491,0.0000842464,0.0001547558,0.000194592,0.00004410402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003932827,"about_ca_system_score_gemma":0.0003336746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005373065,"about_ca_topic_score_gemma":0.006811666,"domain_scores_codex":[0.9997291,0.0001401238,0.00001033758,0.00002901441,0.00003421884,0.00005718622],"domain_scores_gemma":[0.9992035,0.0003317294,0.0001959927,0.00003676326,0.00002691854,0.0002051059],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001460062,0.0004062077,0.9787072,0.00001976625,0.00005478062,0.0004289733,0.0001677507,0.0002133399,0.0006860193,0.00002952919,0.00007197377,0.01775435],"study_design_scores_gemma":[0.00001793687,0.001142168,0.9980921,0.000006710564,0.00001717359,0.000306309,0.00007856476,0.0001153299,0.0001510677,0.000009112267,0.00006150221,0.000001979915],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995932,0.0002210553,0.00001687133,0.00001529687,0.000001328309,0.000002228511,0.00001658933,9.961414e-7,0.0001324285],"genre_scores_gemma":[0.9997365,0.0001142305,0.0000469931,0.000007025264,0.000001404979,0.000002884961,0.00003343266,3.999293e-7,0.00005703316],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005373065,"threshold_uncertainty_score":0.0106836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02729342899480163,"score_gpt":0.3011525867528338,"score_spread":0.2738591577580322,"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."}}