{"id":"W4283388855","doi":"10.1158/1538-7445.am2022-lb113","title":"Abstract LB113: Genomic classification to refine prognosis in clear cell renal cell carcinoma","year":2022,"lang":"en","type":"article","venue":"Cancer Research","topic":"Renal cell carcinoma treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill Genome Centre","funders":"","keywords":"BAP1; Clear cell renal cell carcinoma; Renal cell carcinoma; Oncology; Medicine; Proportional hazards model; Cohort; Internal medicine; Kidney cancer; Clear cell; Survival analysis; Cancer; Bioinformatics; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001370952,0.0003165489,0.0004625893,0.002361926,0.0003196436,0.001070858,0.0004446077,0.0003588249,0.003763768],"category_scores_gemma":[0.00334384,0.00007826112,0.0004435835,0.001256823,0.0002688202,0.0004123991,0.0008303816,0.0004512921,0.0008394815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004243127,"about_ca_system_score_gemma":0.0002640477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00306819,"about_ca_topic_score_gemma":0.003342624,"domain_scores_codex":[0.9994929,0.0001653345,0.00005085288,0.00009045712,0.0001312505,0.00006910328],"domain_scores_gemma":[0.9988127,0.000411618,0.0002901903,0.0001011259,0.0002147877,0.0001695902],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006351052,0.00002437297,0.9816917,0.0000236925,0.00006218939,0.00006107418,0.00003381214,0.0005467269,0.003388462,0.00008819906,0.0008010743,0.01264369],"study_design_scores_gemma":[0.00003059069,0.0001785569,0.9904297,0.00001788339,0.00007910329,0.0003100137,0.0001243984,0.005638945,0.001682629,0.0003881059,0.001108179,0.00001181526],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917898,0.0005342821,0.002890847,0.0001565221,0.00003360447,0.00003366698,0.002876409,0.00007669433,0.001608192],"genre_scores_gemma":[0.9958153,0.00005947634,0.001401493,0.00003231542,0.00002017478,0.00001833702,0.002206282,0.00001789966,0.0004287533],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003763768,"threshold_uncertainty_score":0.01259106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1412264077990494,"score_gpt":0.3807707231984906,"score_spread":0.2395443153994412,"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."}}