{"id":"W4399359135","doi":"10.5489/cuaj.8832","title":"Poster Session 7: Oncology – Prostate (Part 2)","year":2024,"lang":"en","type":"article","venue":"Canadian Urological Association Journal","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Research Nova Scotia; Dalhousie University; Dalhousie Medical Research Foundation","keywords":"Medicine; Prostate cancer; Nomogram; Biochemical recurrence; Receiver operating characteristic; Concordance; Stage (stratigraphy); Androgen deprivation therapy; Prostate; Cohort; Lymph node; Oncology; Internal medicine; Cancer; Prostatectomy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001976225,0.001430701,0.0008272569,0.001512065,0.0008645819,0.002526328,0.001123746,0.002500345,0.169642],"category_scores_gemma":[0.001889473,0.0004160239,0.001032326,0.0007016965,0.000483633,0.001286066,0.002420767,0.002472821,0.1018179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001195084,"about_ca_system_score_gemma":0.001896094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007818096,"about_ca_topic_score_gemma":0.001865238,"domain_scores_codex":[0.9993287,0.0001642813,0.0000393737,0.0001531518,0.0001918896,0.0001224707],"domain_scores_gemma":[0.9986196,0.0001315322,0.00007318357,0.00009141833,0.0004356502,0.0006485328],"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":[0.0004337265,0.0002643652,0.001812062,0.0007327254,0.00005507824,0.0003170563,0.00006758895,0.0009598735,0.002517811,0.001835618,0.7900692,0.2009348],"study_design_scores_gemma":[0.0001032103,0.0005380039,0.005084812,0.0006008852,0.00005437285,0.001436545,0.00007669834,0.0009433505,0.001964273,0.0036127,0.9855537,0.00003141642],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02292605,0.07453575,0.02518286,0.07005347,0.2201587,0.003448129,0.00868649,0.002997436,0.5720111],"genre_scores_gemma":[0.06318703,0.04037087,0.01040418,0.01371444,0.1248746,0.001339881,0.008779592,0.001062348,0.7362671],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.830358,"threshold_uncertainty_score":0.5675089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01083165490265582,"score_gpt":0.2815225316366104,"score_spread":0.2706908767339546,"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."}}