{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009418526,0.0001899072,0.0004004671,0.0001880218,0.0004753869,0.00005540256,0.001439412,0.0001929991,0.00002685516],"category_scores_gemma":[0.0007576128,0.0002002338,0.00008554933,0.0000853828,0.0006487939,0.0007334268,0.0005201104,0.0001897158,0.00002486129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001317185,"about_ca_system_score_gemma":0.0001718101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002151285,"about_ca_topic_score_gemma":0.00005539193,"domain_scores_codex":[0.9980875,0.000195717,0.0004337369,0.0007348278,0.0001670178,0.0003812123],"domain_scores_gemma":[0.9964328,0.0001255947,0.0006957034,0.002258519,0.000419071,0.00006835779],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002423802,0.0001615243,0.001108354,0.0002046794,0.000006246923,0.001095895,0.0008265712,0.00003980066,0.8133212,0.1243854,0.006587703,0.05202024],"study_design_scores_gemma":[0.01171713,0.006135357,0.1332332,0.0002099936,0.0002646207,0.007646443,0.0001577324,0.02072292,0.3659301,0.1196257,0.3314824,0.002874471],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01209725,0.0002113885,0.9815326,0.0009898019,0.001654716,0.0003324399,0.0001931677,0.0001206627,0.002867964],"genre_scores_gemma":[0.6444075,0.0001295342,0.3542932,0.0002873661,0.0001559427,0.0001852592,0.00005847742,0.00003170502,0.0004510264],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6323103,"threshold_uncertainty_score":0.8165297,"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."}}