{"id":"W2065366744","doi":"10.1593/neo.06745","title":"Telomere Attrition in Isolated High-Grade Prostatic Intraepithelial Neoplasia and Surrounding Stroma Is Predictive of Prostate Cancer","year":2007,"lang":"en","type":"article","venue":"Neoplasia","topic":"Telomeres, Telomerase, and Senescence","field":"Medicine","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Ontario Institute for Cancer Research; University Health Network; University of Toronto; Hospital for Sick Children; Credit Valley Hospital; Princess Margaret Cancer Centre","funders":"","keywords":"Telomere; Intraepithelial neoplasia; Prostate cancer; Hazard ratio; Prostate; Stroma; Chromosome instability; Cancer; Oncology; Biology; Genome instability; Proportional hazards model; Telomerase; High-grade prostatic intraepithelial neoplasia; Pathology; Internal medicine; Medicine; Confidence interval; Genetics; Chromosome; Immunohistochemistry; Gene; DNA damage","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004522034,0.0003221405,0.0006310328,0.0004670232,0.00009032016,0.000027677,0.00009351011,0.000223224,0.00008210699],"category_scores_gemma":[0.0001184583,0.0003006696,0.00006690294,0.0007815795,0.000231894,0.0002544375,0.00004074014,0.0004483446,0.000007307341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001769378,"about_ca_system_score_gemma":0.0002366507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001289102,"about_ca_topic_score_gemma":0.0009260023,"domain_scores_codex":[0.9975899,0.00007584991,0.0007180073,0.0005292213,0.000467281,0.0006197016],"domain_scores_gemma":[0.998846,0.0002255523,0.0002505655,0.0002548957,0.0001728642,0.0002501013],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003926024,0.0004669617,0.891376,0.001024383,0.0001365695,0.0003310846,0.01053013,0.00001506558,0.06648642,0.0001660698,0.0002986897,0.02524261],"study_design_scores_gemma":[0.006642715,0.0018848,0.9287283,0.001318552,0.0001754958,0.0002775179,0.002258031,0.001084427,0.05667276,0.0002314902,0.0003414589,0.0003844166],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996581,0.0007780434,0.0001788549,0.0006029294,0.00030235,0.00116993,0.000174177,0.00008542866,0.0001272557],"genre_scores_gemma":[0.9980409,0.0005957126,0.000655155,0.0001920102,0.000146407,0.00004427127,0.00005389916,0.00004905935,0.0002226384],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03735234,"threshold_uncertainty_score":0.9999446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01198471942507879,"score_gpt":0.2751108501059603,"score_spread":0.2631261306808815,"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."}}