{"id":"W1912319529","doi":"10.1593/neo.101102","title":"Analysis of Cancer Metabolism by Imaging Hyperpolarized Nuclei: Prospects for Translation to Clinical Research","year":2011,"lang":"en","type":"article","venue":"Neoplasia","topic":"Advanced NMR Techniques and Applications","field":"Chemistry","cited_by":678,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre; University of Toronto","funders":"National Center for Research Resources; National Institute of Biomedical Imaging and Bioengineering","keywords":"Hyperpolarization (physics); In vivo; Magnetic resonance imaging; Cellular metabolism; Nuclear magnetic resonance; Computer science; Medicine; Bioinformatics; Biology; Chemistry; Computational biology; Metabolism; Biochemistry; Nuclear magnetic resonance spectroscopy; Physics; Biotechnology","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":[0.004272942,0.0006673125,0.000958289,0.000852771,0.0002138666,0.001663056,0.0009492596,0.001863752,0.002973879],"category_scores_gemma":[0.002456231,0.0003434966,0.0003119388,0.0008403018,0.001365233,0.003254191,0.0005960438,0.001883528,0.0008465698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008931682,"about_ca_system_score_gemma":0.001521648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004499869,"about_ca_topic_score_gemma":0.0004349119,"domain_scores_codex":[0.9996054,0.000189034,0.00002857617,0.000057647,0.0000737379,0.00004562424],"domain_scores_gemma":[0.9983345,0.0008196081,0.0001575644,0.0001448426,0.0003455756,0.000197953],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001750028,0.0004713342,0.005967406,0.002310635,0.00008959723,0.0006878556,0.0002814513,0.002052315,0.1402409,0.03534944,0.01087355,0.7999256],"study_design_scores_gemma":[0.0005638548,0.007526339,0.02132424,0.001599298,0.0004348668,0.007336086,0.001479075,0.01518556,0.2190692,0.1755233,0.5495243,0.0004339198],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.02979753,0.8022845,0.1089407,0.04737672,0.00108102,0.000166769,0.0003412247,0.000657224,0.009354226],"genre_scores_gemma":[0.2039336,0.6649733,0.1134318,0.008628888,0.002926029,0.0002100976,0.0005982484,0.0001784542,0.005119678],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004272942,"threshold_uncertainty_score":0.02259773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1101617115948177,"score_gpt":0.4398072572434648,"score_spread":0.3296455456486471,"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."}}