{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002783508,0.0003231242,0.001339616,0.0001004085,0.0000515638,0.00001570239,0.00040122,0.001030349,0.0003688213],"category_scores_gemma":[0.00009132735,0.0002938812,0.0003754961,0.0003130242,0.00006407104,0.00003993582,0.00006281275,0.0007804853,0.0004060564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002017436,"about_ca_system_score_gemma":0.0002864466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001269389,"about_ca_topic_score_gemma":0.00006213655,"domain_scores_codex":[0.9978158,0.00007535117,0.001048715,0.0006301008,0.0001304765,0.0002994811],"domain_scores_gemma":[0.9983767,0.0005143844,0.000298482,0.0006242165,0.00003875977,0.0001474523],"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":[0.00001177305,0.0001073344,0.0000114596,0.001333712,0.00001666994,0.000008322791,0.0000304023,2.14812e-7,0.000008684008,0.0001527146,0.001616171,0.9967026],"study_design_scores_gemma":[0.0002591012,0.0000572816,0.000001504338,0.002155299,0.0001190937,0.00002904255,0.000006847893,0.00001912116,0.000007027882,0.0002580758,0.9968131,0.0002745437],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00002575084,0.9687011,0.003858588,0.0001388322,0.0001018173,0.0008292404,0.0001418194,0.0002642339,0.02593861],"genre_scores_gemma":[0.00001125374,0.9634276,0.03433155,0.00009058681,0.0005989288,0.00060716,0.0002480119,0.00006758914,0.0006172996],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.996428,"threshold_uncertainty_score":0.9999513,"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."}}