{"id":"W4385242208","doi":"10.1016/j.ucl.2023.06.001","title":"Artificial Intelligence and Pathomics","year":2023,"lang":"en","type":"review","venue":"Urologic Clinics of North America","topic":"AI in cancer detection","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research; Michael Smith Health Research BC","keywords":"Medicine; Prostate cancer; Histopathology; Deep learning; Artificial intelligence; Cancer; Machine learning; Pathology; Internal medicine; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004449954,0.0003096491,0.001302098,0.0002178162,0.00007255398,0.00004721322,0.001262824,0.0002342321,0.000004433461],"category_scores_gemma":[0.0005270729,0.0002656829,0.0003063105,0.001127563,0.0002830378,0.00009172651,0.0007772784,0.0005684348,0.0001451943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003590036,"about_ca_system_score_gemma":0.0002489124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001490032,"about_ca_topic_score_gemma":0.00002086739,"domain_scores_codex":[0.997344,0.0001869573,0.001173563,0.000759972,0.0002407947,0.0002947368],"domain_scores_gemma":[0.9963869,0.001404367,0.001168299,0.0008707753,0.00007562544,0.00009406778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002330865,0.00002185924,0.00002034009,0.0007820674,0.00003152614,0.00001254119,0.0000253242,0.00005733921,1.950802e-9,0.0002447817,0.00004943936,0.9987525],"study_design_scores_gemma":[0.00001049601,0.0005838318,0.00001824446,0.0003338698,0.0001352114,0.00001843882,0.000003856673,0.005077922,1.022729e-7,0.006344892,0.9871566,0.0003165071],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00001051762,0.8349314,0.1633692,0.00006778973,0.0009496503,0.0003701927,0.00003814177,0.0002112268,0.00005178291],"genre_scores_gemma":[0.00002130632,0.9880192,0.01155763,0.000151413,0.0001476139,0.00004555377,0.00001485671,0.00002486752,0.00001756044],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9984359,"threshold_uncertainty_score":0.9999796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1668083606502935,"score_gpt":0.3770602230364296,"score_spread":0.2102518623861361,"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."}}