{"id":"W2738332719","doi":"10.1111/his.13313","title":"Pathology Imagebase—a reference image database for standardization of pathology","year":2017,"lang":"en","type":"article","venue":"Histopathology","topic":"AI in cancer detection","field":"Computer Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Toronto General Hospital; University Health Network","funders":"Cancerföreningen i Stockholm; Stockholms Läns Landsting; Cancerfonden","keywords":"Standardization; Pathology; Anatomical pathology; Gastrointestinal pathology; Medicine; Molecular pathology; Computer science; Information retrieval; Biology; Immunohistochemistry","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":[0.01998098,0.001481322,0.002024279,0.02058108,0.002183058,0.00739776,0.007774369,0.002659161,0.03139875],"category_scores_gemma":[0.03563058,0.00151761,0.001281108,0.01047026,0.001200758,0.006714483,0.00687917,0.002868981,0.03191854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002283981,"about_ca_system_score_gemma":0.006597899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004014914,"about_ca_topic_score_gemma":0.003732739,"domain_scores_codex":[0.988908,0.002057205,0.00266901,0.001526149,0.004390688,0.0004489879],"domain_scores_gemma":[0.960749,0.005119337,0.003841846,0.01380777,0.01462491,0.001857151],"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":[0.0008346782,0.0003695551,0.006417008,0.001648205,0.0002160943,0.0004832523,0.0007345922,0.001687357,0.02191515,0.0154429,0.5069165,0.4433346],"study_design_scores_gemma":[0.0002527628,0.0001939889,0.0178987,0.0008341581,0.0001714766,0.001864763,0.0004702189,0.009594634,0.02390251,0.01255546,0.932002,0.0002593369],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"dataset","genre_scores_codex":[0.01244147,0.003184571,0.7201588,0.002680986,0.001507867,0.004186417,0.09207509,0.1144131,0.04935172],"genre_scores_gemma":[0.02996084,0.001753844,0.6954544,0.0008832379,0.0005057882,0.004447191,0.2400042,0.01278489,0.01420571],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.03139875,"threshold_uncertainty_score":0.1056708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03382466852445921,"score_gpt":0.3100867712186621,"score_spread":0.2762621026942029,"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."}}