{"id":"W2520679741","doi":"10.1161/circresaha.116.309769","title":"Hyperpolarized <sup>13</sup> C Metabolic MRI of the Human Heart","year":2016,"lang":"en","type":"article","venue":"Circulation Research","topic":"Advanced NMR Techniques and Applications","field":"Chemistry","cited_by":361,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; General Electric (Canada); University of Toronto; Sunnybrook Health Science Centre; St. Michael's Hospital","funders":"Canadian Institutes of Health Research; Heart and Stroke Foundation of Canada","keywords":"Human heart; Medicine; Cardiology; Nuclear magnetic resonance; Internal medicine; Physics","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":[0.0008153823,0.0004658214,0.0002768167,0.0001818294,0.0001825136,0.0005331529,0.000400625,0.001011948,0.004740561],"category_scores_gemma":[0.0006320137,0.0001945126,0.0001107239,0.0001865734,0.0007633886,0.0003833998,0.000300651,0.0006750279,0.00132213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001535252,"about_ca_system_score_gemma":0.0005030207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002322951,"about_ca_topic_score_gemma":0.0004104101,"domain_scores_codex":[0.9998918,0.00004957513,0.000007446172,0.0000175944,0.00001902922,0.00001461605],"domain_scores_gemma":[0.9996722,0.00009470266,0.00008313108,0.0000336717,0.00006350582,0.00005272193],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.01340826,0.001332636,0.0146374,0.00307624,0.0001413558,0.001868551,0.0001390747,0.001871244,0.7785453,0.002256454,0.01717567,0.1655479],"study_design_scores_gemma":[0.00591586,0.05277662,0.1728292,0.002131617,0.001230426,0.02861055,0.0005851493,0.009115264,0.5376655,0.006873921,0.1820108,0.0002550315],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8521256,0.03873381,0.05381526,0.009576191,0.0007496391,0.00370178,0.002558767,0.0007085852,0.03803023],"genre_scores_gemma":[0.9125074,0.01653062,0.04972081,0.004369077,0.001067322,0.002699144,0.003349811,0.0001350415,0.009620806],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004740561,"threshold_uncertainty_score":0.01585877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06784196781459358,"score_gpt":0.385819945074052,"score_spread":0.3179779772594584,"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."}}