{"id":"W2931461559","doi":"10.1016/j.euo.2019.03.003","title":"Development and Validation of a Lookup Table for the Prediction of Metastatic Prostate Cancer According to Prostatic-specific Antigen Value, Clinical Tumor Stage, and Gleason Grade Groups","year":2019,"lang":"en","type":"article","venue":"European Urology Oncology","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Medicine; Receiver operating characteristic; Stage (stratigraphy); Prostate cancer; Prostate-specific antigen; Logistic regression; Cohort; Prostate; Oncology; Cancer; Internal medicine; Confidence interval; Statistics; Mathematics","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":[0.001089373,0.0001571031,0.0005312543,0.00009359929,0.00007277363,0.000008926251,0.0000702869,0.00003700937,0.00002013798],"category_scores_gemma":[0.0001138106,0.0001103167,0.00004367788,0.0001290357,0.0001726607,0.00005973425,0.00009475782,0.0001277573,0.000005020442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007530531,"about_ca_system_score_gemma":0.0002133137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002591374,"about_ca_topic_score_gemma":0.000009461439,"domain_scores_codex":[0.9982949,0.0002816904,0.0006539137,0.0003992781,0.0001205687,0.000249574],"domain_scores_gemma":[0.9986015,0.0005808185,0.0003718946,0.0002022726,0.000141614,0.0001018915],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003948681,0.0008659071,0.8952232,0.0005683316,0.0008526212,0.00005011661,0.00463604,0.0003646406,0.01306315,0.0009527293,0.0009700551,0.0785045],"study_design_scores_gemma":[0.01013981,0.01158559,0.800424,0.0001478656,0.0005804535,0.00005795484,0.001405078,0.0006937079,0.01264364,0.00006614806,0.1620777,0.0001780103],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926215,0.002186181,0.0004700439,0.001281622,0.0003382994,0.002806494,0.0001166324,0.00001746789,0.000161796],"genre_scores_gemma":[0.9906675,0.00171649,0.006501521,0.0006023028,0.00006027588,0.0002492014,0.0000482282,0.00003392573,0.0001205577],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1611076,"threshold_uncertainty_score":0.4498585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06270675657138075,"score_gpt":0.347054801179891,"score_spread":0.2843480446085102,"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."}}