{"id":"W2006831212","doi":"10.1021/pr300487s","title":"Satiety Hormone and Metabolomic Response to an Intermittent High Energy Diet Differs in Rats Consuming Long-Term Diets High in Protein or Prebiotic Fiber","year":2012,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Diet and metabolism studies","field":"Medicine","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Fondation pour la Recherche Médicale","keywords":"Postprandial; Prebiotic; Internal medicine; Endocrinology; Metabolomics; Hormone; Metabolite; Weaning; Biology; Peptide YY; Gut flora; Glucagon-like peptide-1; Insulin; Food science; Medicine; Biochemistry; Type 2 diabetes; Neuropeptide; Diabetes mellitus; Bioinformatics","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":[0.00008773528,0.0002470484,0.000232248,0.000254458,0.0001096324,0.0001733029,0.00009369103,0.0001765102,0.0008883063],"category_scores_gemma":[0.0001242769,0.0001481097,0.0001800761,0.0001303022,0.0002495928,0.0001571795,0.0002054062,0.0004691214,0.0001181673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001567227,"about_ca_system_score_gemma":0.0001734447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008957078,"about_ca_topic_score_gemma":0.001716582,"domain_scores_codex":[0.9999329,0.000006308622,0.000003431038,0.00002154778,0.00001506711,0.00002075434],"domain_scores_gemma":[0.9998615,0.00001069631,0.00004217785,0.0000201671,0.00001543704,0.00004991376],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009930183,0.00006358059,0.004656198,0.00001295508,0.00001387456,0.00003013669,0.00002271096,0.00002712588,0.9922748,0.00001729517,0.00001803162,0.001870272],"study_design_scores_gemma":[0.00004091909,0.003261888,0.3847021,0.000008138801,0.00009581089,0.0002783588,0.0002770301,0.001158317,0.6092569,0.000125321,0.0007714368,0.00002373103],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993576,0.00006795257,0.0003305842,0.00001384287,0.000004331098,0.000003070333,0.000121609,0.000008929194,0.00009208979],"genre_scores_gemma":[0.9966689,0.0002010166,0.001180804,0.00005273973,0.000005079896,0.00003171383,0.0004727309,0.00001545821,0.001371521],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008957078,"threshold_uncertainty_score":0.002971709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06921958749308511,"score_gpt":0.3777214136151462,"score_spread":0.3085018261220611,"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."}}