{"id":"W2527310536","doi":"10.1016/j.ijrobp.2016.06.257","title":"A Genomic Classifier Impacts Adjuvant Treatment Decision Making Among Patients With High-Risk Pathology at Radical Prostatectomy: Results From the Multicenter Prospective PRO-IMPACT Study","year":2016,"lang":"en","type":"article","venue":"International Journal of Radiation Oncology*Biology*Physics","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Genome British Columbia","funders":"","keywords":"Medicine; Prostatectomy; Multicenter study; Adjuvant; Oncology; Classifier (UML); Internal medicine; Prostate cancer; Artificial intelligence; 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":[0.002238634,0.000471769,0.0005402283,0.0005048073,0.0004090723,0.00134588,0.0005920539,0.0009268545,0.002265831],"category_scores_gemma":[0.01338792,0.0002505085,0.00140255,0.0009161543,0.0004459097,0.001127332,0.0006008258,0.001234489,0.0002872104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003931582,"about_ca_system_score_gemma":0.0004168615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003108892,"about_ca_topic_score_gemma":0.003584978,"domain_scores_codex":[0.9988807,0.0005809587,0.00007084623,0.0002097158,0.0001155946,0.0001422046],"domain_scores_gemma":[0.9909037,0.005188674,0.002312283,0.0005894253,0.0003630647,0.0006428201],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005198013,0.0008391059,0.9798871,0.00002927042,0.0008661516,0.00005522666,0.00008229895,0.001855003,0.0002565863,0.0001427955,0.00101053,0.009777815],"study_design_scores_gemma":[0.0004778934,0.002034885,0.9781525,0.00003284277,0.001548753,0.0001901505,0.0004732621,0.0145427,0.0004007771,0.001353268,0.000751758,0.00004120561],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987491,0.0001917782,0.0001172987,0.0003220286,0.00001843832,0.000006979499,0.0003580514,0.000003911796,0.0002323233],"genre_scores_gemma":[0.9991062,0.00007235978,0.0001123786,0.00007894735,0.00002718548,0.000004031157,0.0004891849,0.000003246133,0.0001064245],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003108892,"threshold_uncertainty_score":0.01183915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07773210629719303,"score_gpt":0.3939850985187164,"score_spread":0.3162529922215234,"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."}}