{"id":"W2515429449","doi":"10.1038/srep32272","title":"Metabolite Analysis and Histology on the Exact Same Tissue: Comprehensive Metabolomic Profiling and Metabolic Classification of Prostate Cancer","year":2016,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Genome Alberta; Genome Canada; Canadian Institutes of Health Research; Alberta Innovates","keywords":"Metabolomics; Metabolite; Receiver operating characteristic; Liquid chromatography–mass spectrometry; Biopsy; Prostate cancer; Histology; Pathology; Prostate; Chromatography; Chemistry; Mass spectrometry; Medicine; Cancer; Internal medicine; Biochemistry","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":[0.0005533329,0.0004643421,0.0004338142,0.0009361222,0.0002565638,0.0004113382,0.0002863008,0.0004029396,0.0005938842],"category_scores_gemma":[0.0005604524,0.0002757738,0.0002623339,0.0004886253,0.0003382552,0.0004413398,0.0003847488,0.0003586393,0.0002856244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000152302,"about_ca_system_score_gemma":0.0003156216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007374514,"about_ca_topic_score_gemma":0.001824698,"domain_scores_codex":[0.9995938,0.00008596286,0.00002334916,0.0001541709,0.0001091156,0.00003360772],"domain_scores_gemma":[0.9997241,0.00005283954,0.00008217468,0.00005805934,0.0000522637,0.00003044929],"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":[0.0002036759,0.0000282914,0.009409373,0.00005388368,0.00003283979,0.00006008248,0.00002915196,0.0001478784,0.9730556,0.00004212794,0.00003611981,0.01690102],"study_design_scores_gemma":[0.0000174418,0.001004326,0.1440863,0.00001196417,0.0001450923,0.002170991,0.00007474612,0.003916049,0.845711,0.0002663032,0.002552996,0.00004285658],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8987142,0.004234836,0.09417803,0.0001792608,0.00003280086,0.0001628569,0.000770033,0.0003790286,0.001348946],"genre_scores_gemma":[0.9124641,0.00158777,0.0839386,0.0001513678,0.00003810345,0.00008043961,0.0006828642,0.0000568017,0.001000071],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009361222,"threshold_uncertainty_score":0.00292635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01819427872516141,"score_gpt":0.2774785701561799,"score_spread":0.2592842914310186,"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."}}