{"id":"W106889312","doi":"","title":"Nomogram prediction for prostate cancer and aggressive prostate cancer at time of biopsy: utilizing all risk factors and tumor markers for prostate cancer.","year":2006,"lang":"en","type":"article","venue":"PubMed","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre","funders":"","keywords":"Nomogram; Prostate cancer; Medicine; Prostate; Prostate biopsy; Rectal examination; Biopsy; Cancer; Prostate-specific antigen; Prostate cancer screening; Oncology; Urology; Gynecology; Internal medicine","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":[0.004389252,0.001171842,0.0007080555,0.002456541,0.0004476227,0.0009770194,0.0006466198,0.0005437759,0.0009755252],"category_scores_gemma":[0.01886436,0.0002919092,0.001150856,0.0009130625,0.0003078913,0.0009780546,0.0006434639,0.0007631098,0.0004942074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000516324,"about_ca_system_score_gemma":0.0008546085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003049068,"about_ca_topic_score_gemma":0.004669633,"domain_scores_codex":[0.9986548,0.0007874607,0.00007980754,0.0001164715,0.0002973368,0.00006408149],"domain_scores_gemma":[0.9937724,0.003533192,0.001061919,0.0004119928,0.0007419206,0.0004784741],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004935449,0.00008807906,0.943042,0.00008526737,0.0003420046,0.0001232375,0.000116926,0.006327502,0.0002787061,0.000245406,0.002426015,0.04643124],"study_design_scores_gemma":[0.0001225029,0.0007843649,0.8313755,0.0002043387,0.0006047729,0.002090975,0.0004982594,0.1526864,0.001042537,0.002779268,0.007715034,0.00009608192],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9534333,0.005264855,0.03517394,0.0007735302,0.0002891812,0.0003011009,0.001819086,0.0003115638,0.002633549],"genre_scores_gemma":[0.983824,0.000511425,0.01400896,0.00004737956,0.0000835663,0.0001075693,0.001094495,0.00001943291,0.0003031084],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004389252,"threshold_uncertainty_score":0.02321291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01638202384909613,"score_gpt":0.2573745248490323,"score_spread":0.2409925009999362,"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."}}