{"id":"W3186870880","doi":"10.1002/pros.24202","title":"Assessment of the optimal number of positive biopsy cores to discriminate between cancer‐specific mortality in high‐risk versus very high‐risk prostate cancer patients","year":2021,"lang":"en","type":"article","venue":"The Prostate","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Prostate cancer; Medicine; Hazard ratio; Biopsy; Prostate biopsy; Prostate; Proportional hazards model; Urology; Internal medicine; Prostate-specific antigen; Cancer; Oncology; Gynecology; Confidence interval","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":[],"consensus_categories":[],"category_scores_codex":[0.0003778167,0.000349385,0.0007542905,0.00006256919,0.0001441051,0.00002991734,0.0002329999,0.00007175384,0.000100378],"category_scores_gemma":[0.00007511708,0.0002095742,0.0001904596,0.0006496151,0.0002833602,0.000111201,0.000320618,0.000383942,0.000005599592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007006615,"about_ca_system_score_gemma":0.000533294,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02181764,"about_ca_topic_score_gemma":0.001261407,"domain_scores_codex":[0.9971765,0.0003325324,0.0007617038,0.0005636017,0.0006614903,0.0005041364],"domain_scores_gemma":[0.9977089,0.000293391,0.0006174466,0.0007250041,0.0005034977,0.0001517726],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009787327,0.0006426163,0.9847134,0.0001347925,0.0007430902,0.00002769871,0.002750443,0.0008614216,0.0003898257,0.0001785481,0.0001694942,0.008409915],"study_design_scores_gemma":[0.005449933,0.0005452682,0.9485359,0.000662346,0.0008461252,0.000001062622,0.000416556,0.00002722882,0.04295238,0.0002498396,0.0001057327,0.0002076654],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9867395,0.0005820827,0.000007824547,0.001252893,0.0006839677,0.002058536,0.008484603,0.00001799962,0.0001726124],"genre_scores_gemma":[0.9926362,0.005859157,0.0003685027,0.00007369377,0.00007660167,0.000569151,0.0002220599,0.00004786192,0.0001467954],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04256256,"threshold_uncertainty_score":0.9846961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02363010760658616,"score_gpt":0.3355928456240095,"score_spread":0.3119627380174233,"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."}}