{"id":"W2921343547","doi":"10.14309/00000434-201810001-00267","title":"Urine Metabolomic Biomarker Panel for Colorectal Cancer: Presidential Poster Award","year":2018,"lang":"en","type":"article","venue":"The American Journal of Gastroenterology","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; The Metabolomics Innovation Centre","funders":"","keywords":"Medicine; Metabolomics; Colorectal cancer; Urine; Biomarker; Colonoscopy; Population; Cancer; Internal medicine; Biomarker discovery; Bioinformatics; Environmental health; Proteomics; Biology","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":[0.007831339,0.0008990489,0.0006601593,0.001208728,0.0009535517,0.001906765,0.001315422,0.001843256,0.01370316],"category_scores_gemma":[0.006858988,0.0002268997,0.0006190676,0.0007487479,0.0004282248,0.0006681685,0.001929232,0.002182062,0.005508958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002643754,"about_ca_system_score_gemma":0.01067983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02736118,"about_ca_topic_score_gemma":0.04822252,"domain_scores_codex":[0.9980612,0.0003057392,0.0001086138,0.0002544243,0.0008599546,0.0004100382],"domain_scores_gemma":[0.9882922,0.0003888481,0.0003750795,0.0002136619,0.007306017,0.003424245],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001185608,0.0003511019,0.03185357,0.0003654438,0.0001565021,0.000344224,0.00007384545,0.0002679086,0.004374335,0.0004637618,0.838146,0.1224177],"study_design_scores_gemma":[0.0004490114,0.001554668,0.1671709,0.0006252528,0.0003348838,0.001464865,0.0002894925,0.002700762,0.005654759,0.0009528735,0.8186885,0.0001140145],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1579818,0.04696154,0.02334595,0.4333822,0.1101499,0.00779601,0.09625318,0.003808491,0.120321],"genre_scores_gemma":[0.4717093,0.03475672,0.05427359,0.06315218,0.05148657,0.003407515,0.1423719,0.0006818151,0.1781604],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02736118,"threshold_uncertainty_score":0.05440384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01482571172398318,"score_gpt":0.2791284069931521,"score_spread":0.2643026952691689,"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."}}