{"id":"W4254328295","doi":"10.1042/bst0331413","title":"Myocardial phenotyping using isotopomer analysis of metabolic fluxes","year":2005,"lang":"en","type":"article","venue":"Biochemical Society Transactions","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Heart Institute","funders":"","keywords":"Isotopomers; Metabolomics; Metabolome; Metabolite; Computational biology; Energy metabolism; Nuclear magnetic resonance spectroscopy; Metabolism; Phenotype; Metabolic pathway; Chemistry; Biology; Biochemistry; Bioinformatics; Stereochemistry; Gene","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":[0.0001140577,0.0001561449,0.0003513616,0.0000680364,0.0001265004,0.00001089627,0.0001241155,0.0001615463,0.0001310622],"category_scores_gemma":[0.00001451206,0.0001529807,0.0009319508,0.0006561826,0.000136514,0.000005177845,0.00002053287,0.00009778937,0.00000193581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001491564,"about_ca_system_score_gemma":0.00003603251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000377168,"about_ca_topic_score_gemma":0.00001002107,"domain_scores_codex":[0.9990242,0.0000219371,0.0002660553,0.0003069565,0.0001402913,0.0002406271],"domain_scores_gemma":[0.999508,0.00001364019,0.00007875814,0.0002449754,0.00008058368,0.00007404783],"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":[0.00001513688,0.0001070621,0.0004220052,0.000006799077,0.003732277,3.207925e-8,0.00008947519,0.001094706,0.9930673,0.0001253619,0.0003177136,0.001022115],"study_design_scores_gemma":[0.0004324942,0.00002595201,0.002376717,0.000003329585,0.003081059,0.000001653616,0.0002029789,0.005388873,0.9475068,0.00001815938,0.04066965,0.0002923015],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8261189,0.005914119,0.1672386,0.0001600304,0.00008740534,0.00009562933,0.0001017588,0.0000136387,0.0002699124],"genre_scores_gemma":[0.97825,0.001504047,0.01959094,0.000180972,0.0002450527,0.00001127569,0.0000566964,0.0000142371,0.0001467559],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1521311,"threshold_uncertainty_score":0.6238372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01339438215740588,"score_gpt":0.2630411408438152,"score_spread":0.2496467586864093,"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."}}