{"id":"W2585544843","doi":"10.3390/metabo7010006","title":"Urine and Serum Metabolomics Analyses May Distinguish between Stages of Renal Cell Carcinoma","year":2017,"lang":"en","type":"article","venue":"Metabolites","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Alberta Cancer Foundation","keywords":"Urine; Renal cell carcinoma; Metabolomics; Medicine; Urology; Area under the curve; Asymptomatic; Multivariate analysis; Internal medicine; Gastroenterology; Chemistry; Chromatography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003439974,0.0002553125,0.0005943387,0.00009347633,0.0002925307,0.00008163832,0.0003889455,0.0001016445,0.00002173859],"category_scores_gemma":[0.0004556822,0.0002144841,0.0001546139,0.00006455771,0.0002961383,0.00001004445,0.0005301647,0.00009573327,0.000001498565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000342948,"about_ca_system_score_gemma":0.00003314178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001254815,"about_ca_topic_score_gemma":0.00002513526,"domain_scores_codex":[0.9986681,0.00006576037,0.0003478756,0.0004419615,0.0001540731,0.0003221942],"domain_scores_gemma":[0.9985427,0.00003390459,0.000395115,0.0007749418,0.0001455119,0.0001077996],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001888407,0.00002951015,0.4766605,0.00004145605,0.0001760541,0.000001651789,0.00002391059,0.000001362046,0.5211636,0.0004596149,0.0001645234,0.001258867],"study_design_scores_gemma":[0.0003854318,0.00006628578,0.4460701,0.00000256686,0.0002094874,0.000001128168,0.00003181635,0.000002468773,0.5342264,0.000158535,0.01869862,0.0001472329],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9770539,0.0195138,0.0001509321,0.0001296488,0.0001241945,0.0001166321,0.000356959,0.000008007951,0.002545882],"genre_scores_gemma":[0.9930157,0.001947748,0.003000606,0.00002800719,0.0004445777,0.000008184712,0.00006170598,0.00002537978,0.001468056],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03059047,"threshold_uncertainty_score":0.8746408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03384593249347888,"score_gpt":0.3124597647892807,"score_spread":0.2786138322958018,"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."}}