{"id":"W4386748033","doi":"10.32074/1591-951x-896","title":"Diagnostic concordance between traditional and digital workflows. A study on 1427 prostate biopsies","year":2023,"lang":"en","type":"article","venue":"Pathologica","topic":"AI in cancer detection","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Hospital Foundation","funders":"","keywords":"Concordance; Concordance correlation coefficient; Prostate; Medicine; Biopsy; Reproducibility; Nuclear medicine; Pathology; Statistics; Internal medicine; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002330378,0.0001354327,0.0001567685,0.00009841662,0.0001697327,0.0002146013,0.0002984826,0.00004175321,0.000003572806],"category_scores_gemma":[0.0002948261,0.0001118506,0.00002931282,0.0005440264,0.0001052891,0.0003226861,0.00013854,0.0001437205,0.0001807158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003573437,"about_ca_system_score_gemma":0.00001861139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001773764,"about_ca_topic_score_gemma":8.776764e-7,"domain_scores_codex":[0.9987968,0.00006325757,0.0001685149,0.0004794551,0.0002537101,0.000238219],"domain_scores_gemma":[0.9986516,0.0009194044,0.00006563068,0.0002695583,0.00002902967,0.00006479264],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000334648,0.000385365,0.7186491,0.00002302888,0.00004093819,0.001041266,0.004831515,0.0002311225,0.0002728123,0.00193901,0.002079828,0.2704725],"study_design_scores_gemma":[0.0003267399,0.001315368,0.9860051,0.00002479049,0.000005141628,0.00002096114,0.000155765,0.0003921019,0.000125268,0.01104238,0.0004133091,0.0001731089],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991916,0.00004121653,0.005367201,0.0007016934,0.0002834462,0.0004223262,0.0000545344,0.0005584139,0.0006551741],"genre_scores_gemma":[0.9989129,0.00002653971,0.0005631976,0.00008814609,0.0001229157,0.0001775298,0.000009304679,0.000007861719,0.00009164488],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2702994,"threshold_uncertainty_score":0.4561135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06301025778948428,"score_gpt":0.2706504969436548,"score_spread":0.2076402391541706,"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."}}