{"id":"W4387667700","doi":"10.3389/ti.2023.11783","title":"Banff Digital Pathology Working Group: Image Bank, Artificial Intelligence Algorithm, and Challenge Trial Developments","year":2023,"lang":"en","type":"article","venue":"Transplant International","topic":"AI in cancer detection","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Cancer Institute","keywords":"Digital pathology; Medicine; Pathology; Digital image analysis; Computer science; Transplantation; Surgical pathology; Telepathology; Telemedicine; Surgery; Computer vision","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":[0.08094533,0.001102924,0.001233224,0.005758019,0.002963545,0.01037745,0.008275139,0.007080644,0.04773383],"category_scores_gemma":[0.08517347,0.0008804745,0.0009288003,0.004683598,0.002527645,0.00928471,0.008119795,0.00565165,0.02449578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006274756,"about_ca_system_score_gemma":0.02569205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009389588,"about_ca_topic_score_gemma":0.00993967,"domain_scores_codex":[0.9681397,0.01238979,0.00184557,0.002355322,0.01257809,0.002691553],"domain_scores_gemma":[0.8786784,0.02703587,0.004726233,0.01743171,0.05040872,0.02171901],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006804899,0.0008658191,0.004926628,0.0003136997,0.000040419,0.0002956394,0.0005058381,0.001084198,0.002030917,0.01338817,0.6337397,0.3421285],"study_design_scores_gemma":[0.0003157055,0.0004704384,0.003980413,0.000507926,0.00002997614,0.0006094461,0.0004635259,0.004956149,0.004194348,0.01104973,0.9733542,0.00006811858],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04429081,0.01599599,0.1818255,0.3319643,0.01630608,0.01627976,0.01274713,0.01059601,0.3699945],"genre_scores_gemma":[0.149489,0.01075383,0.3333936,0.06920745,0.009802413,0.02319439,0.05400989,0.007221154,0.3429283],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08094533,"threshold_uncertainty_score":0.4280849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04574690773065399,"score_gpt":0.275130716929103,"score_spread":0.229383809198449,"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."}}