{"id":"W2892128276","doi":"10.1002/ajmg.a.40491","title":"Dietary intake in youth with prader‐willi syndrome","year":2018,"lang":"en","type":"article","venue":"American Journal of Medical Genetics Part A","topic":"Genetic Syndromes and Imprinting","field":"Biochemistry, Genetics and Molecular Biology","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Canadian Institutes of Health Research; Women and Children's Health Research Institute; Foundation for Prader-Willi Research","keywords":"Medicine; Nutrient; Nutrient density; Obesity; Interquartile range; Food group; Micronutrient; Energy density; Vitamin; Vitamin D and neurology; Environmental health; Internal medicine; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006234632,0.0001772891,0.0003509704,0.00009466577,0.00003975211,0.00001948248,0.0004654479,0.0001054623,0.00008609873],"category_scores_gemma":[0.0001545988,0.0001351751,0.00008839929,0.000277491,0.0006977185,0.000003229776,0.0001395695,0.0002654154,0.000008824504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001299927,"about_ca_system_score_gemma":0.0002929422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003325317,"about_ca_topic_score_gemma":0.0000580448,"domain_scores_codex":[0.9980338,0.0001123141,0.0005394453,0.0002471353,0.0006967589,0.0003705951],"domain_scores_gemma":[0.9988584,0.00001945523,0.0003425635,0.0002770481,0.0001453481,0.0003571737],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001120886,0.0007814543,0.4935746,0.00004841687,0.0007478986,0.0002273209,0.003226358,0.000218188,0.01819272,0.00001111828,0.002044338,0.4808155],"study_design_scores_gemma":[0.005040355,0.04064439,0.866599,0.0008731394,0.000231141,0.01091877,0.008675603,0.0004725519,0.007917042,0.00007455468,0.0573784,0.001175039],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997135,0.0007446322,0.0008634549,0.0007052257,0.0002588991,0.00007335193,0.00000369022,0.000003085335,0.0002125977],"genre_scores_gemma":[0.9945545,0.0008406019,0.003446701,0.00061938,0.0004570739,0.000002009413,0.000006847511,0.00002821598,0.00004471074],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4796405,"threshold_uncertainty_score":0.5512282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0150550897459619,"score_gpt":0.2649318630061272,"score_spread":0.2498767732601653,"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."}}