{"id":"W4207014659","doi":"10.1093/ecco-jcc/jjab232.014","title":"OP15 A new simplified histology artificial intelligence system for accurate assessment of remission in Ulcerative Colitis","year":2022,"lang":"en","type":"article","venue":"Journal of Crohn s and Colitis","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Ulcerative colitis; Biopsy; Rectum; Medicine; Artificial intelligence; Colonoscopy; Machine learning; Internal medicine; Disease; Gastroenterology; Radiology; Surgery; Computer science; Colorectal cancer; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007597498,0.000660118,0.0005871466,0.001045184,0.0002064646,0.000771222,0.001088794,0.0005772177,0.005680992],"category_scores_gemma":[0.001637868,0.0002247337,0.0004416436,0.0003308301,0.0001900076,0.0004546989,0.0007255365,0.000342392,0.001190029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006511277,"about_ca_system_score_gemma":0.0006501405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004127424,"about_ca_topic_score_gemma":0.003731653,"domain_scores_codex":[0.9996772,0.00004727759,0.00003663258,0.0001146614,0.00008990827,0.00003446328],"domain_scores_gemma":[0.9995593,0.0001344682,0.00005232011,0.0000538302,0.0001615525,0.00003848458],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009124219,0.0003568868,0.01256515,0.0002482933,0.0001632832,0.000448714,0.0000655802,0.06552419,0.03987778,0.0008061061,0.006108962,0.8729227],"study_design_scores_gemma":[0.00005034705,0.0003302645,0.007004711,0.00002183266,0.00006106769,0.0001607407,0.00001457819,0.9778891,0.01198563,0.0005635769,0.001899892,0.00001831056],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2646845,0.0008697519,0.7023488,0.000345557,0.0001932759,0.0008043081,0.001983573,0.02447874,0.004291534],"genre_scores_gemma":[0.7111896,0.0002228693,0.2802027,0.000239129,0.00005845333,0.0005825096,0.002703908,0.0001528503,0.004648062],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005680992,"threshold_uncertainty_score":0.01900476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03244251417956577,"score_gpt":0.3586296442855274,"score_spread":0.3261871301059616,"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."}}