{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002576548,0.0003497698,0.0009626735,0.0002729408,0.0001228741,0.0001279646,0.001557874,0.0005039344,0.00000477733],"category_scores_gemma":[0.002754022,0.0003250595,0.0003224742,0.0005280623,0.00009904434,0.00008420586,0.0004718959,0.0003397581,0.00009110373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000181271,"about_ca_system_score_gemma":0.0005347883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003720725,"about_ca_topic_score_gemma":0.000009093007,"domain_scores_codex":[0.9979303,0.0001199697,0.0006626468,0.0007455974,0.0001371428,0.0004043765],"domain_scores_gemma":[0.9931591,0.005367276,0.0003369936,0.0009503323,0.0001276172,0.00005870532],"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":[7.992708e-7,0.00002589304,3.086747e-7,0.003623043,0.00001681871,0.00002243646,0.00001775052,0.000005913459,2.366395e-8,0.04661716,0.001308051,0.9483618],"study_design_scores_gemma":[0.00001690994,0.0001250815,7.116712e-7,0.00264421,0.0001709355,0.00002909851,0.000002490172,0.000497025,0.00002166895,0.04677018,0.9493816,0.0003400113],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[2.928615e-8,0.5081344,0.488723,0.0000771149,0.002161549,0.0006098946,0.00004985673,0.0001247374,0.0001194618],"genre_scores_gemma":[0.000003711268,0.9793922,0.01909677,0.0001546921,0.0003612142,0.000821095,0.00004373646,0.00002054476,0.0001060214],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9480736,"threshold_uncertainty_score":0.9999201,"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."}}