{"id":"W4313398715","doi":"10.1016/j.ijrobp.2022.12.035","title":"Analysis of a Biopsy-Based Genomic Classifier in High-Risk Prostate Cancer: Meta-Analysis of the NRG Oncology/Radiation Therapy Oncology Group 9202, 9413, and 9902 Phase 3 Randomized Trials","year":2022,"lang":"en","type":"review","venue":"International Journal of Radiation Oncology*Biology*Physics","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cancer Care Ontario; Genome British Columbia; Decipher Biosciences (Canada)","funders":"National Cancer Institute; National Institutes of Health; University of Miami; Sylvester Comprehensive Cancer Center, University of Miami Health Systems; NRG Oncology; Pfizer; Bristol-Myers Squibb","keywords":"Medicine; Hazard ratio; Internal medicine; Prostate cancer; Interquartile range; Oncology; Randomized controlled trial; Prostatectomy; Radiation therapy; Confidence interval; Concordance; Biopsy; 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":[0.03902593,0.002274289,0.00720362,0.001663752,0.0004749176,0.002771702,0.001430183,0.001268449,0.001520693],"category_scores_gemma":[0.03238778,0.0007633239,0.02280774,0.002307333,0.0007066029,0.001337977,0.001016938,0.001930149,0.0001903877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007962059,"about_ca_system_score_gemma":0.0009245582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001793477,"about_ca_topic_score_gemma":0.003437032,"domain_scores_codex":[0.9736716,0.01930949,0.001716835,0.003381611,0.001462527,0.0004580712],"domain_scores_gemma":[0.9667644,0.0247832,0.003787243,0.002953389,0.00110404,0.0006077341],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.02649388,0.0000656152,0.06819809,0.006696757,0.8799785,0.00009551108,0.00005165593,0.002184916,0.0008551591,0.0001903547,0.000820681,0.01436892],"study_design_scores_gemma":[0.003487411,0.001596931,0.05357236,0.0006597654,0.9347386,0.0001412413,0.00004757633,0.002969469,0.0004948819,0.0007912279,0.001463824,0.00003676939],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.4022013,0.5762725,0.01339387,0.001951006,0.001060286,0.0005025218,0.002599748,0.0002415038,0.001777369],"genre_scores_gemma":[0.982054,0.01321248,0.002285754,0.0006666712,0.0003419199,0.0002002207,0.0009155856,0.00006101644,0.0002622684],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.03902593,"threshold_uncertainty_score":0.2063913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1285669356616585,"score_gpt":0.4432159595089497,"score_spread":0.3146490238472912,"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."}}