{"id":"W2990905805","doi":"10.1016/j.ajpath.2019.08.015","title":"Identification of Prognostic Biomarkers in the Urinary Peptidome of the Small Renal Mass","year":2019,"lang":"en","type":"article","venue":"American Journal Of Pathology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network; Hospital for Sick Children; St. Michael's Hospital; Mount Sinai Hospital","funders":"Kidney Foundation of Canada; Canadian Institutes of Health Research; Canadian Urological Oncology Group","keywords":"Renal cell carcinoma; Medicine; Oncocytoma; Renal mass; Hazard ratio; Clear cell; Renal oncocytoma; Urinary system; Stage (stratigraphy); Internal medicine; Biomarker; Clear cell renal cell carcinoma; Kidney; Nephrectomy; Urology; Oncology; Pathology; Biology; Biochemistry","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":[0.000386454,0.00006184007,0.0001860676,0.00005405812,0.00001734835,0.000002742639,0.0004524405,0.00003225634,0.00001821202],"category_scores_gemma":[0.00007047543,0.00003824712,0.00009084043,0.0002201452,0.000307017,0.0000265999,0.00003407597,0.0001995538,0.000001136213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001998363,"about_ca_system_score_gemma":0.00004191369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005534858,"about_ca_topic_score_gemma":7.006949e-7,"domain_scores_codex":[0.9991654,0.00007732889,0.0004747063,0.00008620057,0.0001027267,0.00009366398],"domain_scores_gemma":[0.9983061,0.0001453569,0.001138344,0.0003103198,0.00008559802,0.00001429053],"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":[0.0000500855,0.00008881858,0.03616619,0.00002177531,0.00001698496,0.0000101135,0.0002730071,0.00005447457,0.960252,0.0005165511,0.000009781864,0.00254021],"study_design_scores_gemma":[0.001159288,0.001343263,0.1223876,0.0003405256,0.0001533951,0.002656847,0.006057784,0.000283048,0.8414415,0.02322773,0.0006477506,0.000301198],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949223,0.00005470822,0.004055214,0.0004197291,0.00001797166,0.0001185003,0.000009243913,0.000002992261,0.0003993148],"genre_scores_gemma":[0.993288,0.00003922801,0.006570354,0.000032887,0.00001852909,0.00001426923,0.000001074442,0.000006939301,0.00002876536],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1188105,"threshold_uncertainty_score":0.1559672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008363092018056342,"score_gpt":0.2586317446823729,"score_spread":0.2502686526643165,"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."}}