{"id":"W4407413759","doi":"10.3390/siuj6010010","title":"The Performance and Role of PSMA PET Scans in Localised Prostate Cancer","year":2025,"lang":"en","type":"article","venue":"Société Internationale d’Urologie Journal","topic":"Prostate Cancer Treatment and Research","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Prostate cancer; Prostate; Medicine; Cancer; Nuclear medicine; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003970672,0.00008276569,0.0001553184,0.0001338955,0.0001318892,0.00003371556,0.0001365115,0.00003508303,0.0000689427],"category_scores_gemma":[0.000102446,0.00004997642,0.00005512223,0.0001448904,0.000208238,0.00008465519,0.00006409385,0.000367324,9.321511e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002062224,"about_ca_system_score_gemma":0.0004373907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005223891,"about_ca_topic_score_gemma":0.00005543383,"domain_scores_codex":[0.9991158,0.00004630364,0.0002611362,0.0001132887,0.000257884,0.0002055395],"domain_scores_gemma":[0.9993676,0.0001665156,0.0001009753,0.00008346714,0.0002347109,0.00004674689],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001142545,0.00009054748,0.928974,0.00004649406,0.000212353,0.00003416433,0.0003691456,0.0001433367,0.001309831,0.0003563788,0.001289866,0.06603134],"study_design_scores_gemma":[0.006648869,0.0004400702,0.9507253,0.0003709323,0.00006573358,0.0001379206,0.002030963,0.008618898,0.005919533,0.003545366,0.02138739,0.0001090563],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9777543,0.006148664,0.000006649755,0.01054041,0.0002250969,0.0002230029,0.0000123966,0.00000761775,0.005081852],"genre_scores_gemma":[0.9751173,0.01807268,0.00003979113,0.0002507721,0.00006591574,0.00004443429,0.000005690451,0.00000465957,0.006398719],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06592228,"threshold_uncertainty_score":0.2037979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01866960594636439,"score_gpt":0.3538346379859071,"score_spread":0.3351650320395427,"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."}}