{"id":"W4391873606","doi":"10.1093/jcag/gwad061.125","title":"A125 DIAGNOSTIC ACCURACY OF ARTIFICIAL INTELLIGENCE IN THE DIAGNOSIS OF INTESTINAL METAPLASIA AND DYSPLASIA IN PATIENTS WITH BARRETT'S ESOPHAGUS: A DIAGNOSTIC TEST ACCURACY META-ANALYSIS","year":2024,"lang":"en","type":"article","venue":"Journal of the Canadian Association of Gastroenterology","topic":"Esophageal Cancer Research and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Barrett's esophagus; Diagnostic accuracy; Intestinal metaplasia; Medicine; Dysplasia; Esophagus; Meta-analysis; Diagnostic test; Radiology; Gastroenterology; Internal medicine; Adenocarcinoma; 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":[0.03856251,0.002691311,0.01366822,0.008100755,0.0008254632,0.005094822,0.002927477,0.00321224,0.002513531],"category_scores_gemma":[0.1182375,0.001736854,0.06687522,0.00772621,0.001221388,0.002573641,0.002095812,0.002818587,0.0002627659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002286289,"about_ca_system_score_gemma":0.00211263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006330751,"about_ca_topic_score_gemma":0.00898985,"domain_scores_codex":[0.9594007,0.02302198,0.00864365,0.004257324,0.004052278,0.0006241072],"domain_scores_gemma":[0.8320016,0.1436774,0.01385349,0.004211728,0.005556318,0.0006995015],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.002294542,0.00002181693,0.02432592,0.07778391,0.8860641,0.0001375548,0.00006852341,0.0007335042,0.0001640288,0.0001323852,0.0003481029,0.007925631],"study_design_scores_gemma":[0.0004227803,0.0001503397,0.007608313,0.005106525,0.9850308,0.00012292,0.00002398322,0.0006471732,0.00009892632,0.0002795359,0.0004850028,0.00002367516],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.01928693,0.974466,0.003280623,0.0004582985,0.0003653719,0.0003869491,0.001068371,0.00007219025,0.0006152356],"genre_scores_gemma":[0.7357208,0.2491601,0.009225483,0.001422241,0.0006423838,0.001429894,0.001816869,0.00009311944,0.0004891097],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03856251,"threshold_uncertainty_score":0.2039406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.024555318266549,"score_gpt":0.2948260377017629,"score_spread":0.2702707194352139,"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."}}