{"id":"W4413779804","doi":"10.14309/ajg.0000000000003756","title":"Real-Life Clinical Validation of Artificial Intelligence-Assisted Detection and Differentiation of Pleomorphic Lesions in Capsule Endoscopy","year":2025,"lang":"en","type":"article","venue":"The American Journal of Gastroenterology","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Medicine; Capsule endoscopy; Capsule; Endoscopy; Pathology; Radiology","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":[0.01402481,0.0006388802,0.0004560621,0.0008022384,0.0002171115,0.001123552,0.000823396,0.0009822424,0.001084611],"category_scores_gemma":[0.04899886,0.0002802537,0.0005975962,0.0005144689,0.001006445,0.0009454471,0.001056289,0.0003990753,0.0004156467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003820917,"about_ca_system_score_gemma":0.0004172979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004795758,"about_ca_topic_score_gemma":0.00037784,"domain_scores_codex":[0.9903143,0.006285372,0.0007406475,0.001161746,0.00129113,0.0002067548],"domain_scores_gemma":[0.9612088,0.01942338,0.007039492,0.005130853,0.006428924,0.0007685691],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0105814,0.001457085,0.8196017,0.001335291,0.001469727,0.0009887795,0.001358242,0.008915623,0.01955728,0.0003267609,0.001299927,0.1331082],"study_design_scores_gemma":[0.0009896591,0.01941481,0.8741979,0.0004729137,0.001417868,0.006469413,0.0007924127,0.04555637,0.04483396,0.0007605309,0.004908919,0.0001852061],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915108,0.0009139958,0.006274939,0.00005007299,0.00002767842,0.0001839047,0.0002167956,0.00005576152,0.0007659846],"genre_scores_gemma":[0.9948201,0.0001840807,0.004351257,0.00005044175,0.00002634362,0.00007820877,0.0003996403,0.00001016391,0.00007982396],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01402481,"threshold_uncertainty_score":0.07417119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0414021246928541,"score_gpt":0.341790328494604,"score_spread":0.3003882038017499,"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."}}