{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001345546,0.001047628,0.001662756,0.004090818,0.0003788031,0.002392158,0.0008492902,0.001934708,0.006317073],"category_scores_gemma":[0.003588303,0.0004416512,0.0007787361,0.005728326,0.00140932,0.002272047,0.001007301,0.003127431,0.001945959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001513495,"about_ca_system_score_gemma":0.00291584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004526603,"about_ca_topic_score_gemma":0.00769828,"domain_scores_codex":[0.9996076,0.0001169827,0.00004537419,0.00007423232,0.0001230791,0.00003266647],"domain_scores_gemma":[0.9978854,0.0015502,0.0001678596,0.00005066362,0.0002692032,0.00007670528],"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":[0.00005274002,0.00008178058,0.0003927441,0.01681172,0.0001696994,0.00008197869,0.00006101995,0.0005748965,0.0002416094,0.01198791,0.03924097,0.9303031],"study_design_scores_gemma":[0.00004214708,0.0001229346,0.002469932,0.01664205,0.0003302036,0.000640129,0.0001335541,0.0005081162,0.0002702218,0.02159645,0.9571956,0.00004872455],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00004585189,0.9977511,0.000165368,0.00057523,0.0002315148,0.000004021967,0.00001361131,0.000005324483,0.001207942],"genre_scores_gemma":[0.0006693372,0.9977797,0.0002520205,0.0004526887,0.0003771097,0.000006771429,0.00002076955,0.000001608932,0.0004400988],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006317073,"threshold_uncertainty_score":0.02113271,"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."}}