{"id":"W2797542401","doi":"10.1002/nbm.3912","title":"Hyperpolarized ketone body metabolism in the rat heart","year":2018,"lang":"en","type":"article","venue":"NMR in Biomedicine","topic":"Advanced NMR Techniques and Applications","field":"Chemistry","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunnybrook Hospital; University of Toronto; Sunnybrook Health Science Centre","funders":"Engineering and Physical Sciences Research Council; British Heart Foundation","keywords":"Ketone bodies; In vivo; Metabolism; Chemistry; Hyperpolarization (physics); Biochemistry; Biology; Nuclear magnetic resonance spectroscopy; Stereochemistry","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":[0.0002386604,0.0005872874,0.0002904819,0.0002272677,0.0001730991,0.0003260277,0.0002532189,0.0002690815,0.001108046],"category_scores_gemma":[0.0001727189,0.0002486776,0.0001987269,0.0001391505,0.000450579,0.0004879059,0.0002996563,0.0008435115,0.0002263817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002852766,"about_ca_system_score_gemma":0.0002973475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006674986,"about_ca_topic_score_gemma":0.0008559035,"domain_scores_codex":[0.9998945,0.00001893575,0.000005410106,0.00003635346,0.00002063857,0.0000242695],"domain_scores_gemma":[0.9998212,0.00003644094,0.00005316587,0.00003168104,0.00002558176,0.00003190684],"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":[0.0003957947,0.00001594723,0.0001888068,0.00002282667,0.000005098707,0.00006536635,0.00001957388,0.00006434613,0.9980564,0.00004274493,0.00001134067,0.00111171],"study_design_scores_gemma":[0.00003760783,0.0009237994,0.003614567,0.000006102901,0.00003307808,0.0002221707,0.00005373179,0.0005133584,0.9938802,0.00005564145,0.0006513674,0.000008518639],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936061,0.001616861,0.00373438,0.00007370934,0.00003149224,0.00002293886,0.0001420922,0.0000476675,0.0007248297],"genre_scores_gemma":[0.9878521,0.002714269,0.006520594,0.0001302752,0.00003935381,0.00007536224,0.0004735026,0.00004383106,0.002150803],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001108046,"threshold_uncertainty_score":0.003706813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01579186608572048,"score_gpt":0.3152084655295619,"score_spread":0.2994165994438414,"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."}}