{"id":"W4387750282","doi":"10.14309/01.ajg.0000952084.04882.48","title":"S611 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":2023,"lang":"en","type":"article","venue":"The American Journal 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":"Medicine; Diagnostic odds ratio; Intestinal metaplasia; Meta-analysis; Dysplasia; Barrett's esophagus; Odds ratio; Diagnostic accuracy; Internal medicine; Gastroenterology; Esophagus; Metaplasia; Radiology; Cancer; Adenocarcinoma","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":[0.0443505,0.002427468,0.01003825,0.00928307,0.0007931594,0.004753366,0.002777621,0.003225261,0.004840069],"category_scores_gemma":[0.121774,0.001410236,0.05942503,0.00911337,0.0009857157,0.002559466,0.00185129,0.002644665,0.0004758799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002173969,"about_ca_system_score_gemma":0.002812333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005138704,"about_ca_topic_score_gemma":0.007225342,"domain_scores_codex":[0.9539745,0.02622936,0.00960013,0.003818961,0.005670614,0.0007063232],"domain_scores_gemma":[0.8609487,0.1182592,0.01171878,0.003269893,0.005132498,0.0006709849],"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":[0.003826192,0.00003282344,0.03794175,0.09013864,0.846182,0.0002514102,0.0001171814,0.001128936,0.0003354088,0.0003185615,0.001258355,0.01846884],"study_design_scores_gemma":[0.0005929567,0.0002636009,0.014721,0.009793182,0.9700686,0.0002578214,0.00004372049,0.001179832,0.0002393389,0.0007218833,0.002075502,0.00004256981],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.02621393,0.9598684,0.005622542,0.00141843,0.0008648772,0.000731553,0.003518743,0.0001410846,0.001620414],"genre_scores_gemma":[0.7429221,0.229326,0.01652273,0.002314268,0.001461398,0.002082951,0.004105987,0.0001547004,0.001109925],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0443505,"threshold_uncertainty_score":0.2345507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03780026209034402,"score_gpt":0.3247033072648958,"score_spread":0.2869030451745518,"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."}}