{"id":"W2901018275","doi":"10.1016/j.neo.2018.09.006","title":"Hyperpolarized 13C MRI: Path to Clinical Translation in Oncology","year":2018,"lang":"en","type":"review","venue":"Neoplasia","topic":"Advanced NMR Techniques and Applications","field":"Chemistry","cited_by":447,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute; National Institute of Standards and Technology; Evelyn Trust; National Cancer Institute; National Institutes of Health; Cancer Research UK; Prostate Cancer UK; Lundbeckfonden; National Institute of Biomedical Imaging and Bioengineering; British Heart Foundation","keywords":"Translation (biology); Medicine; Path (computing); Oncology; Clinical Oncology; Internal medicine; Medical physics; Pathology; Cancer research; Computer science; Biology; Cancer; Operating system; Messenger RNA","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":[0.001451742,0.0006056227,0.0006838897,0.001269314,0.0002637827,0.001433564,0.0007639356,0.00146404,0.005129084],"category_scores_gemma":[0.001428186,0.0002400413,0.0004130116,0.001105192,0.000765888,0.002357699,0.0007612873,0.002767012,0.002398303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009935588,"about_ca_system_score_gemma":0.002042881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009179119,"about_ca_topic_score_gemma":0.002258124,"domain_scores_codex":[0.999803,0.00004860634,0.00001798179,0.00002751984,0.00007121058,0.00003171764],"domain_scores_gemma":[0.9991399,0.0004335101,0.00007210678,0.00002512195,0.0002585804,0.00007075739],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006270556,0.00006415549,0.0001793549,0.007982925,0.00003678691,0.0001788456,0.00007019167,0.0003777154,0.003206244,0.01738824,0.06478117,0.9056717],"study_design_scores_gemma":[0.00001085496,0.00008661948,0.000267084,0.002172766,0.00002860384,0.0005859958,0.00007066077,0.0001215131,0.001030407,0.006373339,0.989237,0.00001526398],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002494404,0.9902751,0.0007734339,0.003556477,0.00105739,0.00001100021,0.00002822159,0.00002460836,0.004024365],"genre_scores_gemma":[0.001413925,0.9947752,0.0008135401,0.001122949,0.000576437,0.00001136573,0.00003373807,0.000004626872,0.00124821],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005129084,"threshold_uncertainty_score":0.01715845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1128105412584595,"score_gpt":0.4580574889660549,"score_spread":0.3452469477075954,"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."}}