{"id":"W4409629442","doi":"10.1158/1538-7445.am2025-2435","title":"Abstract 2435: Automatic detection of prostate cancer in 3D pathology datasets based on synthetic immunolabeling of cytokeratins","year":2025,"lang":"en","type":"article","venue":"Cancer Research","topic":"AI in cancer detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Immunolabeling; Pathology; Prostate cancer; Prostate; Cancer; Medicine; Internal medicine; Immunohistochemistry","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":[0.0009625027,0.0007926528,0.000329493,0.00103526,0.0002314912,0.0006570747,0.0009395861,0.0009146333,0.002343602],"category_scores_gemma":[0.001400745,0.0003945092,0.0009540183,0.0004452551,0.0005390407,0.0003687198,0.0008033962,0.0006608706,0.001400623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007176744,"about_ca_system_score_gemma":0.0005462929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003732949,"about_ca_topic_score_gemma":0.006352545,"domain_scores_codex":[0.9995441,0.00007762023,0.00001741159,0.0001565689,0.0001606927,0.00004354761],"domain_scores_gemma":[0.9993638,0.0002261577,0.00007956597,0.0001380478,0.0001466233,0.00004572305],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004264127,0.0002161058,0.009063595,0.0002496051,0.0001877567,0.0004969861,0.0001439888,0.5343592,0.2079546,0.00300099,0.01462778,0.2292731],"study_design_scores_gemma":[0.000005738532,0.00003068911,0.002053018,0.000007230859,0.000006230751,0.0001048864,0.00001043057,0.9695724,0.02612502,0.0005775309,0.001494276,0.00001253509],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1811369,0.0002460131,0.7927354,0.0004200987,0.0001655625,0.0002614339,0.003443135,0.01916273,0.002428777],"genre_scores_gemma":[0.5536126,0.0002081477,0.4320869,0.0002763204,0.00005372944,0.0002365917,0.008953742,0.0008697404,0.003702168],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003732949,"threshold_uncertainty_score":0.007840097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03515513617067792,"score_gpt":0.3799860488879795,"score_spread":0.3448309127173016,"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."}}