{"id":"W4408019021","doi":"10.1016/j.urolonc.2024.12.158","title":"STIMULATED RAMAN HISTOLOGY AND ARTIFICIAL INTELLIGENCE ALLOWS FOR PREDICTION OF PROSTATE CANCER EXTRAPROSTATIC EXTENSION AND POSITIVE SURGICAL MARGIN DURING RADICAL PROSTECTOMY","year":2025,"lang":"en","type":"article","venue":"Urologic Oncology Seminars and Original Investigations","topic":"Spectroscopy Techniques in Biomedical and Chemical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Medicine; Prostate cancer; Surgical margin; Margin (machine learning); Histology; Prostatectomy; Urology; Cancer; Pathology; Internal medicine; Machine learning","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005624643,0.0002758826,0.0001695436,0.0005608647,0.0001328585,0.0006445401,0.0002456143,0.0003230356,0.0008393608],"category_scores_gemma":[0.001145056,0.0002267383,0.0002786992,0.0002253164,0.0002529971,0.0002566859,0.0002376602,0.0003438814,0.0002440335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001383529,"about_ca_system_score_gemma":0.0001750483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007115198,"about_ca_topic_score_gemma":0.001396266,"domain_scores_codex":[0.9997868,0.00007036269,0.00001198618,0.00003961107,0.0000786563,0.00001253647],"domain_scores_gemma":[0.9993851,0.0003551202,0.00007306351,0.00005133547,0.0001117708,0.00002363965],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001372533,0.0002672571,0.1393477,0.0001999626,0.0002383033,0.0004760445,0.0002997125,0.02432133,0.4280219,0.001400654,0.0007860906,0.4032684],"study_design_scores_gemma":[0.00005064404,0.001516196,0.2732652,0.00006946708,0.0005258915,0.002993084,0.0005349947,0.4275689,0.2839006,0.005394821,0.004064329,0.000115965],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9194848,0.001925695,0.07322848,0.0003274647,0.0001222581,0.00003185075,0.0002348045,0.0005031165,0.004141598],"genre_scores_gemma":[0.9779057,0.0005651199,0.01984641,0.00006284984,0.00004358965,0.00001116362,0.00008120252,0.00002666285,0.001457331],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008393608,"threshold_uncertainty_score":0.002974629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01965849240451009,"score_gpt":0.3487532417755979,"score_spread":0.3290947493710878,"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."}}