{"id":"W4239535509","doi":"10.21037/tcr.2017.08.30","title":"The future of prostate cancer precision medicine: anti-ERG therapies","year":2017,"lang":"en","type":"article","venue":"Translational Cancer Research","topic":"Prostate Cancer Treatment and Research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Erg; Prostate cancer; Medicine; Cancer; Prostate; Precision medicine; Oncology; Internal medicine; Ophthalmology; Pathology","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":[0.008175795,0.001177904,0.00229034,0.001622984,0.001080853,0.00566437,0.001734404,0.004653374,0.01884477],"category_scores_gemma":[0.005712122,0.0003639728,0.001264664,0.00106201,0.004651682,0.008212691,0.002503323,0.006894739,0.003741408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002716602,"about_ca_system_score_gemma":0.004724036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001554772,"about_ca_topic_score_gemma":0.003866602,"domain_scores_codex":[0.997915,0.0009355568,0.00009197869,0.0002322805,0.0005634104,0.0002618188],"domain_scores_gemma":[0.993121,0.003926944,0.0005173679,0.000347924,0.001341344,0.0007454066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001299082,0.000677679,0.002278122,0.004719901,0.0002407635,0.0006446044,0.0002745433,0.002061139,0.005798794,0.1484832,0.1310002,0.7025219],"study_design_scores_gemma":[0.0004021597,0.00118478,0.002652397,0.004061061,0.0002521403,0.001781078,0.000845647,0.002214403,0.002060083,0.2124115,0.7719958,0.0001389622],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002467831,0.8290527,0.005093636,0.1426996,0.005071784,0.00003531786,0.0001722981,0.0001831925,0.01522359],"genre_scores_gemma":[0.07656982,0.8126638,0.01304066,0.06227505,0.02382503,0.00009641807,0.0002852308,0.00009268261,0.01115134],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01884477,"threshold_uncertainty_score":0.0630421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1060475435421444,"score_gpt":0.4775552138915806,"score_spread":0.3715076703494362,"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."}}