{"id":"W2021888878","doi":"10.1023/a:1024786622400","title":"A comparison between NMR and GCMS 13C-isotopomer analysis in cardiac metabolism","year":2003,"lang":"en","type":"article","venue":"Molecular and Cellular Biochemistry","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"National Heart, Lung, and Blood Institute; Canadian Institutes of Health Research","keywords":"Isotopomers; Chemistry; Carbon-13 NMR; Tricarboxylic acid; Citric acid cycle; Nuclear magnetic resonance spectroscopy; Chromatography; Analytical Chemistry (journal); Metabolism; Biochemistry; Stereochemistry; Organic chemistry; Molecule","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":[0.0009196378,0.0003352776,0.0003615375,0.001573275,0.0005682078,0.0006929556,0.0004795388,0.0008548509,0.00188513],"category_scores_gemma":[0.001322899,0.0002616888,0.0002681919,0.0008135387,0.0005410662,0.0006439716,0.0003219816,0.0004492696,0.0004812865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004475131,"about_ca_system_score_gemma":0.0004871763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002390404,"about_ca_topic_score_gemma":0.004150079,"domain_scores_codex":[0.9997891,0.00006718335,0.00001221578,0.00004582831,0.00004885368,0.00003689949],"domain_scores_gemma":[0.9992568,0.0002987246,0.00004873091,0.00007781565,0.000214638,0.0001032747],"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":[0.002516423,0.00006344313,0.002683754,0.0001136391,0.00004625907,0.0001855024,0.00007614455,0.000178971,0.9755677,0.0004101316,0.0001510362,0.01800699],"study_design_scores_gemma":[0.0001181351,0.001054632,0.07319624,0.00006216644,0.0002953816,0.002052106,0.0002217138,0.005873801,0.9117308,0.0008477868,0.00448343,0.00006377422],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9569616,0.01351815,0.02035893,0.000660265,0.0001518669,0.00007790926,0.0008386446,0.0001664372,0.007266297],"genre_scores_gemma":[0.9719908,0.005290155,0.01769464,0.0003609064,0.0001381324,0.00006717101,0.0005803321,0.0001180919,0.003759828],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002390404,"threshold_uncertainty_score":0.00630635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00684961510508938,"score_gpt":0.2423859753686291,"score_spread":0.2355363602635397,"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."}}