{"id":"W4411975814","doi":"10.3390/diagnostics15131699","title":"Simplified Artificial Intelligence Terminology for Pathologists","year":2025,"lang":"en","type":"review","venue":"Diagnostics","topic":"AI in cancer detection","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network","funders":"Canadian Institutes of Health Research","keywords":"Terminology; Computer science; GRASP; Digital pathology; Artificial intelligence; Applications of artificial intelligence; Data science; Management science; Engineering","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":[0.004824197,0.001551472,0.00106065,0.006340967,0.0008922933,0.003815264,0.002654599,0.003198101,0.008825263],"category_scores_gemma":[0.01438376,0.0004559164,0.001036323,0.005525197,0.004977003,0.0053961,0.002576174,0.005130372,0.007457653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001985765,"about_ca_system_score_gemma":0.003661542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001559128,"about_ca_topic_score_gemma":0.002249251,"domain_scores_codex":[0.9956498,0.002081007,0.000831589,0.0003889023,0.0009068943,0.0001418226],"domain_scores_gemma":[0.9919249,0.00550194,0.0008164956,0.0004765336,0.001137111,0.0001430004],"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":[0.00008389637,0.00006452895,0.0003842785,0.01805426,0.00007613497,0.0004547712,0.001860565,0.0009518065,0.001687691,0.2371709,0.3175681,0.4216431],"study_design_scores_gemma":[0.000004730026,0.00001788107,0.0002482145,0.004354028,0.00001703146,0.0009982948,0.0001847875,0.0001309065,0.0002445919,0.02388106,0.9699005,0.00001780931],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0007397518,0.8926895,0.03118741,0.03089004,0.01185287,0.0002212518,0.0008245935,0.000305465,0.03128916],"genre_scores_gemma":[0.01474865,0.8715923,0.04694816,0.03705668,0.01066753,0.0008770591,0.001763324,0.0002903992,0.0160559],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.008825263,"threshold_uncertainty_score":0.02952349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1307438905625475,"score_gpt":0.4030477277064994,"score_spread":0.2723038371439518,"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."}}