{"id":"W4411163360","doi":"10.3791/68083","title":"Detection and Isolation of Cancer in Prostate Biopsies Using Stimulated Raman Histology and Artificial Intelligence","year":2025,"lang":"en","type":"article","venue":"Journal of Visualized Experiments","topic":"Spectroscopy Techniques in Biomedical and Chemical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Histology; Prostate cancer; Prostate; Pathology; Cancer; Cancer detection; Medicine; Biology; Internal medicine","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":[0.000588082,0.0005663354,0.0002276546,0.0006408863,0.0002981343,0.0005542841,0.0004858347,0.0006148518,0.0008636268],"category_scores_gemma":[0.000646045,0.0004683863,0.0004488657,0.0003808253,0.0006064299,0.0004722362,0.0006240729,0.0005724145,0.0006753802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003394302,"about_ca_system_score_gemma":0.0005193358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009004312,"about_ca_topic_score_gemma":0.002147076,"domain_scores_codex":[0.9995106,0.0001018051,0.00002871686,0.0001038371,0.0002168985,0.00003809107],"domain_scores_gemma":[0.9996736,0.0001080288,0.000066324,0.00006366636,0.00006913661,0.0000191848],"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":[0.00004077841,0.0000235213,0.0003683434,0.00009503017,0.00001051543,0.00007484699,0.00004578011,0.001092635,0.9826957,0.001072521,0.0001225424,0.01435778],"study_design_scores_gemma":[0.00001131291,0.0002769423,0.003067227,0.00002582867,0.00002453584,0.0005032216,0.00008281271,0.02488719,0.9644319,0.001038888,0.005610227,0.00004006532],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2853766,0.003119551,0.6994674,0.0004740675,0.0002383729,0.0004583963,0.0002652272,0.001392895,0.009207486],"genre_scores_gemma":[0.413238,0.003034026,0.5760748,0.0003489639,0.00005582155,0.0004081049,0.000423652,0.0001712458,0.006245395],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0009004312,"threshold_uncertainty_score":0.00311017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02896931785302471,"score_gpt":0.4876713028932879,"score_spread":0.4587019850402632,"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."}}