{"id":"W2786027037","doi":"10.1016/j.eururo.2018.02.003","title":"Re: Jochen Walz. The “PROMIS” of Magnetic Resonance Imaging Cost Effectiveness in Prostate Cancer Diagnosis? Eur Urol 2018;73:31–2","year":2018,"lang":"en","type":"letter","venue":"European Urology","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Prostate Cancer UK; National Institute for Health and Care Research","keywords":"Medicine; Prostate cancer; Magnetic resonance imaging; Gynecology; Medical physics; Urology; Cancer; Radiology; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001015287,0.000666066,0.001079249,0.0002547758,0.0001070312,0.00003709473,0.0005477521,0.0002050577,0.0003965183],"category_scores_gemma":[0.0002517164,0.0004761882,0.0002230599,0.000361964,0.0007743423,0.00006932624,0.0003137693,0.001631331,0.0002241469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003651435,"about_ca_system_score_gemma":0.000273758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000407231,"about_ca_topic_score_gemma":0.00009536904,"domain_scores_codex":[0.9950449,0.001666819,0.0007892918,0.001167341,0.0003964959,0.000935152],"domain_scores_gemma":[0.9970458,0.0009292613,0.0004739813,0.001208388,0.0002312925,0.0001112404],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007340585,0.0002269042,0.1968192,0.0004493577,0.0001174782,0.004773522,0.0005687539,0.000007742502,0.000063861,0.000004704238,0.7698572,0.02637718],"study_design_scores_gemma":[0.003386329,0.001128812,0.2683409,0.0006382767,0.0003846931,0.00006680637,0.00001212573,0.0000219236,0.000355979,0.00005204831,0.7253039,0.0003082369],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.09183748,0.1369255,0.000005800056,0.7476131,0.002323879,0.007965973,0.0009995803,0.0001567971,0.01217189],"genre_scores_gemma":[0.3301265,0.01937843,0.00008509398,0.6340343,0.005233086,0.006936526,0.0006212213,0.0006283826,0.002956451],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.238289,"threshold_uncertainty_score":0.999769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01871335276519269,"score_gpt":0.2732348721058283,"score_spread":0.2545215193406355,"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."}}