{"id":"W3010150366","doi":"10.1093/jnci/djaa032","title":"Risk Stratification of Prostate Cancer Through Quantitative Assessment of PTEN Loss (qPTEN)","year":2020,"lang":"en","type":"article","venue":"JNCI Journal of the National Cancer Institute","topic":"PI3K/AKT/mTOR signaling in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Université du Québec à Montréal; Centre Hospitalier de l’Université de Montréal; Queen's University","funders":"Canadian Institutes of Health Research; Prostate Cancer Canada; Fundação de Amparo à Pesquisa do Estado de São Paulo; Ontario Institute for Cancer Research; Movember Foundation","keywords":"PTEN; Prostate cancer; Biochemical recurrence; Medicine; Prostatectomy; Hazard ratio; Internal medicine; Proportional hazards model; Oncology; Confidence interval; Cancer; Tensin; Prostate; Cohort; Urology; Biology; Apoptosis","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002219281,0.0004257401,0.0002841739,0.001102712,0.0001747587,0.0005131341,0.000356868,0.0002198762,0.0008477124],"category_scores_gemma":[0.00362852,0.0001422059,0.0002526091,0.0004451562,0.0003080912,0.0003229928,0.0005174958,0.0004131867,0.0001944051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002548377,"about_ca_system_score_gemma":0.000251889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006682022,"about_ca_topic_score_gemma":0.001227996,"domain_scores_codex":[0.999491,0.0001858635,0.000030671,0.0001103486,0.0001379551,0.0000442239],"domain_scores_gemma":[0.9984792,0.0005009674,0.0005848809,0.000128697,0.0001945239,0.0001118107],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009725313,0.00008296764,0.957878,0.00007617388,0.0001885656,0.00004484887,0.00005697309,0.001886291,0.00853234,0.00009137519,0.0003300242,0.02985993],"study_design_scores_gemma":[0.00005017348,0.0008455712,0.975721,0.00001882322,0.0001537094,0.0006640824,0.00005463097,0.01574622,0.005519896,0.0006056456,0.0005933867,0.00002683163],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922978,0.0007465819,0.005838712,0.00006737955,0.00001152759,0.00004668723,0.0003593523,0.00006620897,0.0005658246],"genre_scores_gemma":[0.9976923,0.00009231712,0.001758838,0.00001338578,0.000009234199,0.00001855403,0.0002930647,0.000004196692,0.0001180647],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002219281,"threshold_uncertainty_score":0.01173681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06649504221635064,"score_gpt":0.3940755110168732,"score_spread":0.3275804688005225,"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."}}