{"id":"W4385999924","doi":"10.1016/j.vgie.2023.08.008","title":"How to make cost-effective polyp simulators for high-fidelity simulation-based training in postpolypectomy bleeding management and EMR","year":2023,"lang":"en","type":"article","venue":"VideoGIE","topic":"Gastric Cancer Management and Outcomes","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; The Wilson Centre; Hospital for Sick Children; University of Toronto; St. Michael's Hospital","funders":"","keywords":"Medicine; Polypectomy; Scopus; Endoscopic mucosal resection; Learning curve; Medical physics; Endoscopy; MEDLINE; General surgery; Surgery; Colonoscopy; Computer science; Internal medicine; Colorectal cancer","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":[0.0004268752,0.0001951405,0.0003536778,0.0006576689,0.00008569758,0.00007675674,0.00007904881,0.00005605137,0.00001121892],"category_scores_gemma":[0.0004123068,0.0001867469,0.00007729924,0.0008827203,0.00002555362,0.00008582321,0.00008357377,0.00009595492,0.000007744001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002101114,"about_ca_system_score_gemma":0.00003792201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007501643,"about_ca_topic_score_gemma":0.00008759039,"domain_scores_codex":[0.9986129,0.00002302829,0.0002381068,0.000424136,0.0002580523,0.0004437985],"domain_scores_gemma":[0.9986572,0.0008692727,0.00006030695,0.0002159051,0.00005813056,0.0001391411],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001437898,0.00009001567,0.2471727,0.001179972,0.0003644266,0.0001994484,0.001516951,0.1296865,0.0004230711,0.002197859,0.001364503,0.6143666],"study_design_scores_gemma":[0.008338832,0.0005104573,0.8674614,0.0003346408,0.0002506727,5.143658e-7,0.002646466,0.1046873,0.0004474853,0.0008142708,0.01413195,0.0003760071],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9598464,0.00009049339,0.01911095,0.01155339,0.0005014242,0.007983875,0.00003043123,0.0003717866,0.0005112544],"genre_scores_gemma":[0.9956265,0.000007675151,0.001506822,0.00120433,0.000148588,0.0005791732,0.00003980106,0.00003329062,0.0008538153],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6202887,"threshold_uncertainty_score":0.7615319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05369964039438459,"score_gpt":0.3372286516506066,"score_spread":0.283529011256222,"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."}}