{"id":"W4232929949","doi":"10.1200/jco.2017.35.6_suppl.133","title":"Individual patient level meta-analysis of the performance of the Decipher genomic classifier in high-risk men post-prostatectomy to predict development of metastatic disease.","year":2017,"lang":"en","type":"article","venue":"Journal of Clinical Oncology","topic":"Prostate Cancer Treatment and Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Genome British Columbia","funders":"","keywords":"DECIPHER; Medicine; Prostatectomy; Hazard ratio; Prostate cancer; Meta-analysis; Confidence interval; Oncology; Disease; Internal medicine; Metastasis; Bioinformatics; Cancer; 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":["metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.01419889,0.002235978,0.008692468,0.003498327,0.0005105914,0.002943515,0.001687177,0.002128594,0.001923954],"category_scores_gemma":[0.02312926,0.001034935,0.04141586,0.003940952,0.0004912498,0.001334509,0.001211647,0.002229017,0.0003164306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00112099,"about_ca_system_score_gemma":0.0009702921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004735598,"about_ca_topic_score_gemma":0.006967606,"domain_scores_codex":[0.9912117,0.005231231,0.001105107,0.001442569,0.0007255545,0.0002837688],"domain_scores_gemma":[0.981382,0.01422763,0.002068425,0.001249673,0.0007647336,0.0003075026],"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":[0.00724304,0.0000261248,0.02512462,0.01329549,0.9479321,0.0001086784,0.00002891128,0.001370971,0.0003391458,0.00007164236,0.0004404761,0.004018757],"study_design_scores_gemma":[0.0007814417,0.0004203011,0.01399992,0.0008444292,0.981885,0.00007916037,0.00001975321,0.0008631329,0.0001814197,0.0002192513,0.0006870771,0.00001914638],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1235524,0.8659314,0.003941913,0.0007765226,0.0007193217,0.0002555316,0.003354867,0.0001542068,0.00131395],"genre_scores_gemma":[0.9272395,0.06573891,0.002553059,0.0008194303,0.0004251002,0.0003403774,0.002164283,0.00007728697,0.000642035],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9913076,"threshold_uncertainty_score":0.07509178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2852279736251007,"score_gpt":0.4617371316075647,"score_spread":0.176509157982464,"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."}}