{"id":"W4306146983","doi":"10.1055/a-1960-3645","title":"A virtual chromoendoscopy artificial intelligence system to detect endoscopic and histologic activity/remission and predict clinical outcomes in ulcerative colitis","year":2022,"lang":"en","type":"article","venue":"Endoscopy","topic":"Inflammatory Bowel Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"University of Birmingham; National Institute for Health and Care Research; Birmingham Biomedical Research Centre; University Hospitals Birmingham NHS Foundation Trust","keywords":"Chromoendoscopy; Medicine; Ulcerative colitis; Colonoscopy; Endoscopy; Receiver operating characteristic; Gastroenterology; Internal medicine; Artificial intelligence; Radiology; Colorectal cancer; Disease; Computer science; Cancer","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000558981,0.0002542733,0.0003591685,0.0001213036,0.0002798516,0.00003643534,0.0001993942,0.0001167309,0.00004854861],"category_scores_gemma":[0.0003647509,0.0002564654,0.00007440076,0.0001192634,0.000155677,0.00001094581,0.0004808986,0.0002896793,0.000007117896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001312192,"about_ca_system_score_gemma":0.0001542639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000493596,"about_ca_topic_score_gemma":0.0002496377,"domain_scores_codex":[0.9975637,0.000694492,0.0004496275,0.0007091112,0.0002202563,0.0003628176],"domain_scores_gemma":[0.9991341,0.0001195709,0.0001257018,0.0003263397,0.00003092883,0.000263419],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01346167,0.0007286436,0.7670357,0.0002979294,0.0002909422,0.001822305,0.001372632,0.000652811,0.1658534,0.002484689,0.0008074483,0.04519183],"study_design_scores_gemma":[0.002456999,0.005317277,0.9021561,0.0001292162,0.00008802283,0.00006888084,0.002226221,0.001832933,0.08160473,0.0002487837,0.002959615,0.0009112498],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968735,0.0001219865,0.00140769,0.00009985022,0.0004584429,0.0007471229,0.0001069262,0.00003856565,0.000145911],"genre_scores_gemma":[0.9983116,0.00004754959,0.0009025078,0.0001609601,0.0001096344,0.0003122922,0.0000208159,0.00002659787,0.0001080538],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1351204,"threshold_uncertainty_score":0.9999887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01964742125658388,"score_gpt":0.3044457924124609,"score_spread":0.284798371155877,"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."}}