{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00133695,0.0002651633,0.0002633819,0.0006430498,0.0004668396,0.0005523725,0.0002783315,0.0003211722,0.001216292],"category_scores_gemma":[0.002338987,0.0002527478,0.0002299937,0.001036945,0.0003308711,0.0006331327,0.0007873846,0.0003870932,0.0002483847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004745821,"about_ca_system_score_gemma":0.0006727361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002679326,"about_ca_topic_score_gemma":0.00479949,"domain_scores_codex":[0.9993131,0.0002102606,0.00008600792,0.0001326224,0.0001389725,0.0001189968],"domain_scores_gemma":[0.9986063,0.0003786925,0.0003648436,0.00009768586,0.0001485823,0.0004039035],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000140843,0.0002423019,0.9782857,0.00002317013,0.00001719316,0.001534855,0.0006961176,0.00007211478,0.0003723106,0.00005293716,0.0004906633,0.0180718],"study_design_scores_gemma":[0.0000369692,0.0007770337,0.9828508,0.00006755942,0.00003092806,0.01115139,0.00205319,0.0008050275,0.0002917193,0.0000778012,0.001837446,0.00002009106],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983133,0.0006531659,0.0001677986,0.0001005489,0.00001126871,0.0000146921,0.00004475996,0.000003978758,0.0006904757],"genre_scores_gemma":[0.9981157,0.000846032,0.0005224291,0.00009335775,0.00003505754,0.00001489293,0.0001093073,0.000004295226,0.0002590594],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002679326,"threshold_uncertainty_score":0.007070541,"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."}}