{"id":"W2154999108","doi":"10.1158/1055-9965.epi-10-0712","title":"Feasibility of Identifying Pancreatic Cancer Based on Serum Metabolomics","year":2011,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Pancreatic and Hepatic Oncology Research","field":"Medicine","cited_by":197,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; University of Calgary","funders":"Health Research Board","keywords":"Pancreatic cancer; Medicine; Gastroenterology; Internal medicine; Diabetes mellitus; Metabolomics; CA19-9; Confounding; Pancreatitis; Cancer; Receiver operating characteristic; Jaundice; Glutamine; Pathology; Bioinformatics; Endocrinology; 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":[0.001112554,0.0004369337,0.0004161014,0.001060214,0.0001936935,0.000757664,0.0001633063,0.0003834899,0.0006608187],"category_scores_gemma":[0.00268232,0.0001464385,0.0002658108,0.0004715327,0.0002941467,0.0003411742,0.0004345006,0.0003454247,0.0002751902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00015546,"about_ca_system_score_gemma":0.0002537421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004526978,"about_ca_topic_score_gemma":0.0005067999,"domain_scores_codex":[0.9995189,0.0001903948,0.00004429162,0.0001035767,0.00009355803,0.0000492736],"domain_scores_gemma":[0.9988985,0.0004403302,0.0002316138,0.00007455747,0.0002328092,0.0001221558],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001322416,0.00008353477,0.9373582,0.00007752982,0.00007566441,0.0001923926,0.00004457113,0.000353387,0.02740451,0.00005620746,0.0001750577,0.03285644],"study_design_scores_gemma":[0.00006501714,0.001447871,0.9457911,0.00005225729,0.0002538661,0.003401718,0.0002382396,0.01343187,0.03332201,0.000456126,0.001511634,0.00002830548],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930264,0.001411672,0.003876321,0.0002109277,0.00002411494,0.00004251779,0.0002189368,0.00006848734,0.001120523],"genre_scores_gemma":[0.9964215,0.0002538956,0.002949241,0.00005370831,0.00002275984,0.00001335261,0.0001905484,0.000002736258,0.00009235097],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001112554,"threshold_uncertainty_score":0.005883813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2744702560639172,"score_gpt":0.4662359162453578,"score_spread":0.1917656601814406,"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."}}