{"id":"W4229025139","doi":"10.1055/s-0042-1744593","title":"A VIRTUAL CHROMOENDOSCOPY ARTIFICIAL INTELLIGENCE SYSTEM TO DETECT ENDOSCOPIC AND HISTOLOGIC REMISSION IN ULCERATIVE COLITIS","year":2022,"lang":"en","type":"article","venue":"Endoscopy","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Chromoendoscopy; Medicine; Ulcerative colitis; Gastroenterology; Colonoscopy; Internal medicine; Endoscopy; Inflammatory bowel disease; Colorectal cancer; Disease; 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":[0.0005835905,0.0005129422,0.0003406397,0.0007453837,0.0002338721,0.0005787635,0.0005603755,0.0005592656,0.00131939],"category_scores_gemma":[0.00135028,0.0001641479,0.0004176609,0.0002760423,0.0001930651,0.000414653,0.0004367909,0.0002981599,0.0003388731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006281707,"about_ca_system_score_gemma":0.0003822307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005733562,"about_ca_topic_score_gemma":0.005123955,"domain_scores_codex":[0.9997421,0.0000406675,0.00002062545,0.0001021067,0.00005313844,0.00004132069],"domain_scores_gemma":[0.9996903,0.0001051797,0.00005755714,0.00002418692,0.00009249194,0.00003033517],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001355739,0.0006594918,0.06082267,0.0002513978,0.0002775868,0.0008431775,0.0001337966,0.07319064,0.05951509,0.0008726959,0.005856744,0.796221],"study_design_scores_gemma":[0.00005781757,0.0005458956,0.02812155,0.00005283009,0.0001580689,0.0004404975,0.00005256499,0.9476393,0.01956678,0.000740847,0.002589595,0.00003428706],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6995845,0.002075649,0.2832214,0.0007528327,0.0003338054,0.0004087627,0.00111463,0.005466247,0.007042119],"genre_scores_gemma":[0.9298791,0.0002989892,0.06598991,0.0003276534,0.00005626634,0.0001219813,0.0007893033,0.0000265863,0.002510153],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005733562,"threshold_uncertainty_score":0.01140034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02505356387338691,"score_gpt":0.2915652372598225,"score_spread":0.2665116733864356,"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."}}