{"id":"W2934740771","doi":"10.1097/01.ju.0000555707.15264.f6","title":"MP28-02 QUANTITATIVE MEASUREMENT OF PTEN LOSS IMPROVES RISK ASSESSMENT IN PROSTATE CANCER","year":2019,"lang":"en","type":"article","venue":"The Journal of Urology","topic":"Cancer, Lipids, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Prostate cancer; PTEN; Oncology; Risk assessment; Internal medicine; Cancer","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003055989,0.0006038282,0.000977865,0.002294717,0.0004392048,0.003150835,0.0008196762,0.001276556,0.03378141],"category_scores_gemma":[0.008533589,0.0006000274,0.000731127,0.0009998827,0.0004082443,0.0009876131,0.001321658,0.002118666,0.01396695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000662491,"about_ca_system_score_gemma":0.001126905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001626731,"about_ca_topic_score_gemma":0.003133975,"domain_scores_codex":[0.9977449,0.0004455041,0.0001090749,0.0002214808,0.001349217,0.0001298414],"domain_scores_gemma":[0.9954469,0.0007609265,0.0007047675,0.0003760346,0.001982876,0.0007285334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.003893705,0.00128297,0.1108648,0.001116978,0.0005788733,0.0006710344,0.0001812792,0.001067359,0.03853232,0.001680908,0.2865117,0.5536181],"study_design_scores_gemma":[0.001265093,0.007756544,0.4203129,0.0009777084,0.0009760953,0.009949494,0.0005209591,0.00777774,0.08624348,0.004324275,0.4595364,0.0003592621],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4401486,0.1237986,0.04474316,0.07696044,0.01835879,0.00207271,0.02607719,0.0145961,0.2532443],"genre_scores_gemma":[0.6758842,0.02915098,0.04288248,0.01265523,0.005372634,0.0008570621,0.01217207,0.00184282,0.2191826],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03378141,"threshold_uncertainty_score":0.11301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01194865208443874,"score_gpt":0.2871746692137358,"score_spread":0.2752260171292971,"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."}}