{"id":"W4408779489","doi":"10.14309/ctg.0000000000000839","title":"Artificial Intelligence as a Surrogate for Inspection Time to Assess Completeness in Esophagogastroduodenoscopy: A Prospective, Randomized, Noninferiority Study","year":2025,"lang":"en","type":"article","venue":"Clinical and Translational Gastroenterology","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Medicine; Esophagogastroduodenoscopy; Confidence interval; Prospective cohort study; Guideline; Randomized controlled trial; Surgery; Internal medicine; Endoscopy; Pathology","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":[0.01731584,0.001576424,0.002599776,0.0006729221,0.0005512339,0.001641102,0.001240888,0.002859243,0.002453361],"category_scores_gemma":[0.01786997,0.001116093,0.003320305,0.000723918,0.002430524,0.001624573,0.0008437933,0.00294394,0.0003622703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008898629,"about_ca_system_score_gemma":0.001561261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003547096,"about_ca_topic_score_gemma":0.0004140478,"domain_scores_codex":[0.9841433,0.01227424,0.0009943987,0.001177572,0.0009548476,0.0004556724],"domain_scores_gemma":[0.9766693,0.01342742,0.005462244,0.001998749,0.0008385131,0.001603763],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.9675339,0.01506646,0.009557401,0.0003394156,0.001706688,0.00002847923,0.00008100933,0.0003133013,0.0004210419,0.0001179558,0.0001207305,0.004713602],"study_design_scores_gemma":[0.5891316,0.3881536,0.01595238,0.00007840143,0.002284016,0.00005403144,0.00007517672,0.002886143,0.0005387828,0.0003513391,0.0004388155,0.00005570539],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926,0.001878255,0.001056892,0.0002268567,0.0004061605,0.00318062,0.0001455113,0.00001684883,0.000488753],"genre_scores_gemma":[0.9921249,0.00071564,0.001718371,0.0003757729,0.0003824772,0.004155329,0.0001884852,0.00000599697,0.0003330708],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01731584,"threshold_uncertainty_score":0.09157598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06365759337788306,"score_gpt":0.3998805672138077,"score_spread":0.3362229738359246,"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."}}