{"id":"W4416268348","doi":"10.1016/j.euros.2025.10.022","title":"Validation of Artificial Intelligence–enhanced Stimulated Raman Histopathology for Intraoperative Margin Assessment During Robot-assisted Radical Prostatectomy: Preliminary Results from the ROBOSPEC Study","year":2025,"lang":"en","type":"article","venue":"European Urology Open Science","topic":"Spectroscopy Techniques in Biomedical and Chemical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Margin (machine learning); Histopathology; Gold standard (test); Cancer surgery; Surgical margin","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":[0.002485836,0.0001644962,0.0002372942,0.00008214074,0.0003628214,0.00008729877,0.002108807,0.0000900935,0.00002364719],"category_scores_gemma":[0.001662652,0.0001193566,0.00004940155,0.000510506,0.001807103,0.00001575609,0.001688849,0.0002836738,0.000002911432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007229763,"about_ca_system_score_gemma":0.0003382846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003521905,"about_ca_topic_score_gemma":0.000008987232,"domain_scores_codex":[0.9973165,0.0005591731,0.0005792271,0.0009037691,0.0002691322,0.0003722234],"domain_scores_gemma":[0.9986235,0.0002136055,0.0001650312,0.0006556898,0.0002617435,0.0000804496],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003041646,0.0004329245,0.0003059052,0.000005320346,0.00002502818,0.00001035068,0.0002446544,0.0001513458,0.990877,0.0002528076,0.0002023838,0.004450676],"study_design_scores_gemma":[0.0008939164,0.002878611,0.04526559,0.0000208282,0.00002968288,0.000003360283,0.0002252557,0.0009575633,0.9483966,0.0008321058,0.0003535579,0.0001429001],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9477148,0.00003549832,0.0469921,0.001160725,0.0002164532,0.001652363,0.00004224513,0.00002137172,0.002164449],"genre_scores_gemma":[0.9933497,0.00001584565,0.005765472,0.0001891184,0.00006418523,0.0001076693,0.0001172911,0.00001249371,0.0003782203],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04563491,"threshold_uncertainty_score":0.6658345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02811156975554534,"score_gpt":0.3851211957725562,"score_spread":0.3570096260170109,"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."}}