{"id":"W4394802687","doi":"10.1097/01.ju.0001008580.58088.27.10","title":"PD27-10 TEMPORAL VALIDATION OF AN ARTIFICIAL INTELLIGENCE TOOL (SEPERA) TO INFORM NERVE-SPARING STRATEGY DURING RADICAL PROSTATECTOMY AND COMPARISON AGAINST UROLOGISTS","year":2024,"lang":"en","type":"article","venue":"The Journal of Urology","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Prostatectomy; Medicine; Artificial intelligence; Internal medicine; Computer science; Prostate cancer","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01401773,0.0005411379,0.0003288137,0.001400886,0.0003380429,0.001528803,0.001054774,0.000803768,0.008966787],"category_scores_gemma":[0.06571639,0.0001929525,0.0007813654,0.0006252284,0.000526312,0.001075268,0.001192111,0.0008742373,0.002035548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001138775,"about_ca_system_score_gemma":0.002034262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004370523,"about_ca_topic_score_gemma":0.00389753,"domain_scores_codex":[0.9927514,0.003917062,0.0004722368,0.0004645407,0.002231324,0.0001635288],"domain_scores_gemma":[0.950516,0.03199444,0.002615637,0.002954,0.01091629,0.001003511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01484729,0.003189083,0.1376627,0.001296288,0.0007464045,0.0003615401,0.00092472,0.09835805,0.007801277,0.01120817,0.08640105,0.6372035],"study_design_scores_gemma":[0.003114759,0.01207251,0.1192598,0.001624492,0.0006813785,0.0009091006,0.001269871,0.6914098,0.02842978,0.01066766,0.130282,0.0002787864],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.679701,0.002400564,0.174523,0.005709111,0.001984939,0.003692611,0.01890494,0.01009482,0.102989],"genre_scores_gemma":[0.8723331,0.0005956716,0.10412,0.0009201344,0.0001485901,0.001195141,0.01056573,0.0003994898,0.009722163],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01401773,"threshold_uncertainty_score":0.07413375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05039113019937252,"score_gpt":0.3412080303193279,"score_spread":0.2908169001199554,"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."}}