{"id":"W2947562522","doi":"10.1158/1055-9965.epi-18-1291","title":"Urinary Metabolomics to Identify a Unique Biomarker Panel for Detecting Colorectal Cancer: A Multicenter Study","year":2019,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; The Metabolomics Innovation Centre","funders":"National Institute of Biomedical Imaging and Bioengineering; National Cancer Institute; National Institutes of Health; Mitacs","keywords":"Colorectal cancer; Biomarker; Urinary system; Metabolomics; Medicine; Multicenter study; Oncology; Cancer; Internal medicine; Bioinformatics; Biology; Randomized controlled trial; Genetics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00591761,0.0008824277,0.0005982755,0.0005825515,0.0007550404,0.0008804854,0.000437754,0.0006045152,0.0004784361],"category_scores_gemma":[0.00481609,0.0004186691,0.0006127149,0.0008185858,0.0004923684,0.0005475213,0.0006574469,0.0006434016,0.0001883188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005902031,"about_ca_system_score_gemma":0.0009323379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003531502,"about_ca_topic_score_gemma":0.003915134,"domain_scores_codex":[0.9980242,0.0009717669,0.00009329927,0.0004487839,0.0003005872,0.0001613748],"domain_scores_gemma":[0.9967092,0.0004377422,0.0007489175,0.0004525327,0.000907016,0.000744474],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003379577,0.0009256271,0.981912,0.000046751,0.0005970003,0.000104875,0.0002665613,0.0001130861,0.005943353,0.00003707823,0.0002885534,0.006385606],"study_design_scores_gemma":[0.0004468269,0.005203088,0.9892559,0.00001929924,0.0006151752,0.0005674225,0.0002674666,0.0008722433,0.001686915,0.00003956221,0.001005494,0.00002069981],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983109,0.0002951481,0.000752451,0.00008772174,0.000008907873,0.0001317348,0.0002115352,0.000009148411,0.000192398],"genre_scores_gemma":[0.9981521,0.0001048851,0.001136734,0.00009647517,0.00002125407,0.00007163466,0.0003118688,0.000006452384,0.00009848648],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00591761,"threshold_uncertainty_score":0.03129566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06183883944335727,"score_gpt":0.3924476562637359,"score_spread":0.3306088168203786,"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."}}