{"id":"W2115651301","doi":"10.1016/j.jmr.2010.10.007","title":"Multi-channel metabolic imaging, with SENSE reconstruction, of hyperpolarized [1-13C] pyruvate in a live rat at 3.0tesla on a clinical MR scanner","year":2010,"lang":"en","type":"article","venue":"Journal of Magnetic Resonance","topic":"Advanced NMR Techniques and Applications","field":"Chemistry","cited_by":56,"is_retracted":false,"has_abstract":false,"ca_institutions":"Sunnybrook Hospital","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institutes of Health","keywords":"Scanner; Nuclear magnetic resonance; Image resolution; Magnetic resonance imaging; Nuclear medicine; Biomedical engineering; Materials science; Chemistry; Physics; Medicine; Optics; Radiology","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":[0.0005305118,0.0005762711,0.0003757259,0.0004809354,0.0005670905,0.0005016513,0.0007748042,0.0009972122,0.002562667],"category_scores_gemma":[0.0003186083,0.0004853265,0.0002000932,0.0005267978,0.0005905069,0.00101992,0.0004258053,0.0009363962,0.0003105637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004096112,"about_ca_system_score_gemma":0.00114655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003510371,"about_ca_topic_score_gemma":0.006997633,"domain_scores_codex":[0.9998955,0.00001389692,0.000005460666,0.00002354855,0.00001748528,0.00004408399],"domain_scores_gemma":[0.999826,0.00003702698,0.00003065347,0.00002696546,0.00003108424,0.00004833781],"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":[0.002809395,0.0001595631,0.0008182366,0.0001122103,0.0000310759,0.0004103362,0.0000962652,0.001205358,0.9851425,0.0004532755,0.0005684009,0.008193341],"study_design_scores_gemma":[0.00031458,0.002692496,0.02212636,0.00003603564,0.0002023392,0.003127431,0.0002765154,0.01380331,0.9529653,0.0006157921,0.003758838,0.00008108284],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9616208,0.0006560685,0.03264317,0.0006426701,0.00006041646,0.0001231123,0.001067922,0.0004706274,0.002715067],"genre_scores_gemma":[0.9332285,0.001412532,0.05704652,0.0001959915,0.00005468411,0.0001929993,0.001225154,0.0002484037,0.006395215],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003510371,"threshold_uncertainty_score":0.008572996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01580521229656437,"score_gpt":0.2929570294842954,"score_spread":0.277151817187731,"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."}}