{"id":"W4407279223","doi":"10.1093/tas/txaf018","title":"Feeding of a high protein, low carbohydrate diet leads to greater postprandial energy expenditure and fasted n6: n3 fatty acid ratio in lean, adult dogs compared to a moderate protein, moderate carbohydrate diet","year":2025,"lang":"en","type":"article","venue":"Translational Animal Science","topic":"Diet and metabolism studies","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Postprandial; Respiratory quotient; Carbohydrate; Meal; Latin square; High-performance liquid chromatography; Animal science; Biology; Food science; Chemistry; Endocrinology; Biochemistry; Rumen; Insulin; Chromatography","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":[0.0002626615,0.0001954003,0.0003396083,0.0004263182,0.0002004547,0.0003991713,0.0001061487,0.0002839944,0.001324665],"category_scores_gemma":[0.0002938134,0.0002195764,0.0002499643,0.0001814461,0.0003071284,0.0002958663,0.000199029,0.0004481535,0.0001432032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002668911,"about_ca_system_score_gemma":0.0001172675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007258322,"about_ca_topic_score_gemma":0.001629926,"domain_scores_codex":[0.9997982,0.0000320724,0.00002137191,0.00006343514,0.00003668383,0.0000481879],"domain_scores_gemma":[0.9996301,0.00005432608,0.000141469,0.00002809941,0.00002869778,0.0001173354],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.01809963,0.002471339,0.05172713,0.0001583639,0.0001183116,0.000216316,0.0001709388,0.000148224,0.9214621,0.00005596523,0.0004600188,0.004911755],"study_design_scores_gemma":[0.0002165859,0.02287296,0.9006148,0.00002892704,0.0001701785,0.0006877632,0.0005328328,0.001053497,0.07240496,0.00008396125,0.00131092,0.00002268763],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996746,0.0000674674,0.00007585021,0.00001320257,0.000004314593,0.000003854388,0.00007457527,0.00000588113,0.00008031666],"genre_scores_gemma":[0.997981,0.00009966786,0.0005555321,0.00006838577,0.000008844499,0.00002872688,0.0004718092,0.000008109353,0.0007780952],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001324665,"threshold_uncertainty_score":0.004431427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01605904292554304,"score_gpt":0.2590117690847679,"score_spread":0.2429527261592248,"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."}}