{"id":"W2590172935","doi":"10.1200/jco.2015.33.3_suppl.22","title":"Urinary metabolomics of gastric cancer.","year":2015,"lang":"en","type":"article","venue":"Journal of Clinical Oncology","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Metabolomics; Medicine; Receiver operating characteristic; Metabolite; Cancer; Urine; Biomarker; Internal medicine; Area under the curve; Univariate analysis; Multivariate analysis; Gastroenterology; Chromatography; Biology; Chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005960467,0.0004989973,0.0003561095,0.001177779,0.0002065837,0.0005048455,0.0001700945,0.0002823892,0.000850428],"category_scores_gemma":[0.000831121,0.0001285132,0.0003087075,0.001164678,0.0002245611,0.0001666656,0.0003154447,0.0003163401,0.0002467904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004008531,"about_ca_system_score_gemma":0.0004039515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003151815,"about_ca_topic_score_gemma":0.003983151,"domain_scores_codex":[0.9997844,0.00005070106,0.00001200837,0.00005558739,0.00007360742,0.00002361101],"domain_scores_gemma":[0.999708,0.00006186353,0.000106575,0.00001881009,0.00007175631,0.00003307078],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001981678,0.0004052843,0.5553797,0.001026033,0.0005788816,0.0006105287,0.0001867361,0.002435964,0.2785151,0.0003930387,0.001721757,0.1567652],"study_design_scores_gemma":[0.00002420726,0.0007841443,0.9251546,0.00005445781,0.0002620587,0.001986847,0.0001008551,0.007679717,0.06012349,0.0004249323,0.003369611,0.00003517778],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9722344,0.01233771,0.00811574,0.0003756451,0.00004888654,0.0001219777,0.003704861,0.0002934552,0.002767306],"genre_scores_gemma":[0.9901461,0.001764795,0.006021307,0.0001523466,0.000024957,0.00003157765,0.001271993,0.00001664106,0.0005701951],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003151815,"threshold_uncertainty_score":0.006266892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1341551739639363,"score_gpt":0.4505411803043417,"score_spread":0.3163860063404054,"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."}}