{"id":"W4389069658","doi":"10.1002/deo2.322","title":"Endoscopic submucosal dissection and JNET classification for colorectal neoplasia: A North American academic center experience","year":2023,"lang":"en","type":"article","venue":"DEN Open","topic":"Gastric Cancer Management and Outcomes","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kingston Health Sciences Centre; McGill University Health Centre","funders":"","keywords":"Endoscopic submucosal dissection; Medicine; Lesion; Univariate analysis; Narrow-band imaging; Magnification; Single Center; Radiology; Retrospective cohort study; Biopsy; Endoscopic mucosal resection; Endoscopy; Surgery; Internal medicine; Multivariate analysis","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007443268,0.0000813556,0.0001659645,0.00008642127,0.00007703109,0.00004745838,0.0001220268,0.0000235027,0.00001813454],"category_scores_gemma":[0.00004655804,0.00007196362,0.00002482856,0.0003667853,0.00006897409,0.000140981,0.0001126107,0.00008404169,0.00001987673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005169111,"about_ca_system_score_gemma":0.00002442081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000113183,"about_ca_topic_score_gemma":0.0004349926,"domain_scores_codex":[0.9993352,0.00001251156,0.0001354688,0.0002283896,0.0001065936,0.000181803],"domain_scores_gemma":[0.9996933,0.00004477424,0.00006676828,0.0001041589,0.00002203064,0.00006892852],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001716415,0.0000129829,0.9777286,0.00002552805,0.00002343684,0.000004872848,0.0007216345,4.084131e-7,0.0003825081,0.00008214838,0.004589472,0.01625678],"study_design_scores_gemma":[0.001153363,0.0002053267,0.9840917,0.0000141554,0.00003508781,0.000008678724,0.001108025,0.0005595057,0.0001854687,0.000009524761,0.01257482,0.00005431354],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963825,0.00001244728,0.0001594266,0.001361517,0.0001757819,0.001361381,0.00001298513,0.00006114788,0.000472813],"genre_scores_gemma":[0.9970554,0.0001014615,0.0001530579,0.0002361202,0.0001071222,0.0006283358,0.0001688264,0.00001260079,0.001537136],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01620247,"threshold_uncertainty_score":0.2934591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05005463985196097,"score_gpt":0.3618655708223081,"score_spread":0.3118109309703471,"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."}}