{"id":"W2789446608","doi":"10.1200/jco.2018.36.6_suppl.125","title":"Validation of a genomic risk classifier to predict metastasis and prostate cancer-specific mortality in men with positive lymph nodes.","year":2018,"lang":"en","type":"article","venue":"Journal of Clinical Oncology","topic":"Prostate Cancer Treatment and Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Genome British Columbia","funders":"","keywords":"Medicine; Prostatectomy; Prostate cancer; Oncology; Internal medicine; Nomogram; Metastasis; Adjuvant; Adjuvant therapy; Logistic regression; Cohort; Lymph node; Proportional hazards model; Cancer","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":[0.001780798,0.0005164007,0.0004702844,0.0009625683,0.0002583079,0.0005467802,0.0004147166,0.00047052,0.0009307274],"category_scores_gemma":[0.004184367,0.0001758807,0.000355419,0.0003640397,0.0001766668,0.000216676,0.0004924444,0.0003876627,0.0004546734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004184188,"about_ca_system_score_gemma":0.0005485516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002079022,"about_ca_topic_score_gemma":0.002799722,"domain_scores_codex":[0.9994405,0.0001833184,0.00004397187,0.0001558257,0.0001243152,0.0000520921],"domain_scores_gemma":[0.9987658,0.0006595088,0.0001489477,0.00008836311,0.0002269174,0.0001104127],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0012822,0.0002880347,0.9272954,0.00004519616,0.0001928223,0.0001323949,0.00005615947,0.01483105,0.003701523,0.0001124061,0.001487767,0.05057498],"study_design_scores_gemma":[0.0003165845,0.001642496,0.5848066,0.00004443868,0.0004003461,0.0009942986,0.0001436622,0.3996373,0.009024817,0.0007476152,0.002206016,0.00003577862],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911243,0.0002235227,0.006247073,0.0001736782,0.00003101123,0.00007773934,0.001245327,0.0001250499,0.0007524034],"genre_scores_gemma":[0.9906636,0.00005097106,0.006260523,0.00006296548,0.00002805659,0.00004429338,0.002528925,0.000009632467,0.0003510012],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002079022,"threshold_uncertainty_score":0.009417832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1287492433881545,"score_gpt":0.4716844526941577,"score_spread":0.3429352093060032,"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."}}