{"id":"W3186661983","doi":"10.1016/j.bbagen.2021.129966","title":"Urinary metabolite prognostic biomarker panel for pancreatic ductal adenocarcinomas","year":2021,"lang":"en","type":"article","venue":"Biochimica et Biophysica Acta (BBA) - General Subjects","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ottawa Hospital","funders":"","keywords":"Metabolite; Medicine; Biomarker; Urinary system; Internal medicine; Pancreatic cancer; Oncology; Urine; Creatine; Trigonelline; Pancreatic ductal adenocarcinoma; Metabolomics; Cancer; Gastroenterology; Bioinformatics; Biology","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":[0.0004735538,0.0004950164,0.0007699889,0.001720812,0.00040308,0.0005584217,0.0002766354,0.0004408243,0.001193233],"category_scores_gemma":[0.001062018,0.0001478936,0.0003580096,0.001444609,0.000130244,0.0002555056,0.0004440717,0.0003563348,0.0003275143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003168351,"about_ca_system_score_gemma":0.0003323697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001522307,"about_ca_topic_score_gemma":0.002365507,"domain_scores_codex":[0.9997612,0.00004821038,0.00003123878,0.00005411565,0.00005755886,0.00004777234],"domain_scores_gemma":[0.9995922,0.0000782789,0.00008327558,0.00003352636,0.0001101947,0.0001024111],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009357403,0.00007154758,0.9740815,0.00002756553,0.0001137487,0.0002703107,0.00002968537,0.0001153086,0.01044478,0.00002881549,0.0004490924,0.01343197],"study_design_scores_gemma":[0.00002345049,0.0004026646,0.9918609,0.00001122525,0.0002307025,0.001150015,0.0000771889,0.0006229877,0.004213012,0.00009142252,0.001308868,0.000007427854],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934497,0.002436189,0.0006347247,0.0002413246,0.00002980357,0.0000197061,0.002040086,0.00006687985,0.001081435],"genre_scores_gemma":[0.9969764,0.0003056493,0.0005324663,0.00008002255,0.00002400775,0.00001032669,0.001708061,0.000005500354,0.0003576007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001720812,"threshold_uncertainty_score":0.003991723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03077386797144403,"score_gpt":0.2719310972389608,"score_spread":0.2411572292675167,"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."}}