{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007492233,0.0005005265,0.0004414467,0.001229059,0.0002283629,0.0007815124,0.0001178369,0.0004039233,0.0006113683],"category_scores_gemma":[0.001406971,0.000158425,0.0004074321,0.0006708743,0.0002272805,0.0003441605,0.0003174564,0.0004072238,0.0002024077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003049044,"about_ca_system_score_gemma":0.0003470618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002080752,"about_ca_topic_score_gemma":0.003600386,"domain_scores_codex":[0.9996659,0.0001032226,0.00003014179,0.00008163173,0.00007558058,0.00004357306],"domain_scores_gemma":[0.9993955,0.0001927745,0.0001731165,0.00002976735,0.0001366497,0.00007219583],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003884963,0.0002674749,0.7166769,0.0002246142,0.0004318159,0.0003199919,0.0001478677,0.001783992,0.1865801,0.0003734037,0.0009535749,0.0883553],"study_design_scores_gemma":[0.00003435508,0.0008401702,0.9317775,0.00003575915,0.0002635708,0.0009049766,0.0002229635,0.01085567,0.0521784,0.000894004,0.00194094,0.0000516154],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9865083,0.004545749,0.005573082,0.0003060278,0.00005114389,0.00003759469,0.0009571577,0.0001952333,0.001825748],"genre_scores_gemma":[0.9939557,0.0007636865,0.004012243,0.0001487021,0.00002898711,0.00001931997,0.0004410062,0.00001356305,0.0006166918],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002080752,"threshold_uncertainty_score":0.004137278,"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."}}