{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000373059,0.0002346015,0.0003981472,0.0009598438,0.0003109699,0.0003369062,0.0001221448,0.0002355354,0.0008695273],"category_scores_gemma":[0.001206652,0.0001840789,0.0003474322,0.0007830689,0.0001609413,0.0002585802,0.0003479361,0.0002777877,0.0001086382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002300812,"about_ca_system_score_gemma":0.0001724224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005567081,"about_ca_topic_score_gemma":0.006767405,"domain_scores_codex":[0.999705,0.00007318141,0.00004610795,0.00006781898,0.00007335078,0.00003459721],"domain_scores_gemma":[0.9995654,0.00005866029,0.0002430796,0.00001783603,0.00005214917,0.00006280295],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001024904,0.000029971,0.9963476,0.00001878822,0.00003274073,0.0001339653,0.0001511646,0.00001252672,0.000226906,0.00001211425,0.00005876589,0.002872896],"study_design_scores_gemma":[0.000003330212,0.00009495811,0.9992334,0.00001279765,0.00001730167,0.0003315224,0.0001341643,0.00003677316,0.00004031238,0.00001026939,0.00008331105,0.000001949581],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991469,0.0003806352,0.00003854339,0.00002688213,0.000003664552,0.000005293476,0.0001827305,0.00000269031,0.0002125693],"genre_scores_gemma":[0.9990798,0.0003602006,0.0001505124,0.00002681002,0.000004804361,0.00001155728,0.0002355329,0.000001365291,0.0001294253],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005567081,"threshold_uncertainty_score":0.01106936,"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."}}