{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004581851,0.0002357864,0.0006410617,0.000253161,0.00007149492,0.00002080266,0.0002049735,0.00006704238,0.00005371002],"category_scores_gemma":[0.0002436776,0.0002038143,0.0002382641,0.0001829099,0.0001169081,0.00001785944,0.0001029175,0.0003026677,1.637216e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004544436,"about_ca_system_score_gemma":0.0002045036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001776277,"about_ca_topic_score_gemma":0.000001755754,"domain_scores_codex":[0.9981915,0.0002870828,0.0006864759,0.0002669784,0.0002846907,0.0002832733],"domain_scores_gemma":[0.9989163,0.00003665793,0.0004565659,0.0002223641,0.00006895734,0.0002991179],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004351277,0.0008660795,0.8292402,0.00009169846,0.0009646269,0.0001001595,0.002751345,0.008928805,0.08173392,0.0002823102,0.0001785098,0.07051108],"study_design_scores_gemma":[0.004473058,0.0004564056,0.9892346,0.00006389583,0.0002307548,0.00002975543,0.0007009165,0.0001464104,0.000209211,0.00009345108,0.004142631,0.0002189102],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9012063,0.09810042,0.00004427378,0.00006339685,0.0001615544,0.0002033211,0.0001185373,0.00000303764,0.00009915413],"genre_scores_gemma":[0.9977408,0.001606644,0.0002203612,0.0002134364,0.000119344,0.00002077915,0.00001327401,0.00002711775,0.00003822255],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1599944,"threshold_uncertainty_score":0.8311305,"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."}}