{"id":"W4409449502","doi":"10.1016/j.semdp.2025.150905","title":"An adapted & improved validation protocol for digital pathology implementation","year":2025,"lang":"en","type":"review","venue":"Seminars in Diagnostic Pathology","topic":"AI in cancer detection","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network","funders":"","keywords":"Digital pathology; Pathology; Protocol (science); Computer science; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1564503,0.001109048,0.001477012,0.006296976,0.001904137,0.003081263,0.00407826,0.003451291,0.0279743],"category_scores_gemma":[0.1939563,0.00133547,0.003093981,0.00465835,0.00225608,0.003285054,0.004452277,0.004705162,0.01488716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003770142,"about_ca_system_score_gemma":0.0348035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003026986,"about_ca_topic_score_gemma":0.006234038,"domain_scores_codex":[0.9028033,0.05660974,0.02087125,0.002505074,0.01547728,0.001733371],"domain_scores_gemma":[0.8052732,0.06804918,0.01344525,0.02837449,0.08189479,0.002963013],"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":[0.001088555,0.0006705331,0.001344803,0.03271656,0.0002101883,0.0004669968,0.002711282,0.001135013,0.004056033,0.0110142,0.268122,0.6764638],"study_design_scores_gemma":[0.0007261479,0.0008657097,0.005119502,0.0196094,0.0003012753,0.000597945,0.0006807669,0.0007830809,0.005854563,0.004698891,0.9605904,0.0001723373],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"methods","genre_scores_codex":[0.01238027,0.02445374,0.3160827,0.03619474,0.02073147,0.4794589,0.03295365,0.01006038,0.06768423],"genre_scores_gemma":[0.01520604,0.01294607,0.5922968,0.007265884,0.001012587,0.3415054,0.009601281,0.0007696617,0.01939627],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.1564503,"threshold_uncertainty_score":0.8273984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04618372960825541,"score_gpt":0.4162019781658773,"score_spread":0.3700182485576219,"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."}}