{"id":"W2070540525","doi":"10.1002/mrm.22977","title":"Integrated Bloch‐Siegert <i>B</i><sub>1</sub> mapping and multislice imaging of hyperpolarized <sup>13</sup>C pyruvate and bicarbonate in the heart","year":2011,"lang":"en","type":"article","venue":"Magnetic Resonance in Medicine","topic":"Advanced NMR Techniques and Applications","field":"Chemistry","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Heart and Stroke Foundation of Canada","keywords":"Hyperpolarization (physics); Nuclear magnetic resonance; Flip angle; Imaging phantom; In vivo; Multislice; Magnetization; Physics; Magnetic resonance imaging; Chemistry; Nuclear magnetic resonance spectroscopy; Magnetic field; Medicine; Optics","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":[0.0004742038,0.0005419362,0.0003962706,0.0005643686,0.0002018521,0.0004640619,0.0005768003,0.0007547944,0.0005945695],"category_scores_gemma":[0.0004786338,0.0005343242,0.000181051,0.0004399456,0.0006312233,0.0008151641,0.0004709483,0.0004901444,0.0002052117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003333468,"about_ca_system_score_gemma":0.0003612087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007845,"about_ca_topic_score_gemma":0.001374938,"domain_scores_codex":[0.9998375,0.00003415806,0.000004644107,0.00004562683,0.00004735742,0.00003073476],"domain_scores_gemma":[0.9998407,0.00004088822,0.00004145289,0.00002551202,0.00002608832,0.00002527262],"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":[0.0001457535,0.00002036835,0.0001983858,0.00003201089,0.00000713346,0.00005194914,0.0000312115,0.000473267,0.990087,0.0002367343,0.00005222762,0.008663948],"study_design_scores_gemma":[0.0000407124,0.0003374229,0.005654543,0.00001138638,0.00002479689,0.0006752007,0.00002459001,0.01309929,0.9785268,0.0003403487,0.001238601,0.00002624052],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8411387,0.003222013,0.1524291,0.000182264,0.0000252779,0.00007105721,0.0001105527,0.0005149078,0.002306151],"genre_scores_gemma":[0.7904618,0.001847571,0.2034218,0.00009478703,0.00002744419,0.0001522074,0.0001657069,0.0001665501,0.003662192],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007845,"threshold_uncertainty_score":0.002507865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01745871913691666,"score_gpt":0.2462962920591059,"score_spread":0.2288375729221892,"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."}}