{"id":"W4323353059","doi":"10.1093/jcag/gwac036.112","title":"A112 MEASURING COLORECTAL POLYP SIZE USING A NOVEL VIRTUAL SCALE FUNCTION DURING ENDOSCOPIES: A CLINICAL PILOT STUDY","year":2023,"lang":"en","type":"article","venue":"Journal of the Canadian Association of Gastroenterology","topic":"Gastric Cancer Management and Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal","funders":"Fonds de Recherche du Québec - Santé; Boston Scientific Corporation","keywords":"Medicine; Virtual colonoscopy; Endoscope; Calipers; Colonoscopy; Polypectomy; Confidence interval; Radiology; Surgery; Colorectal cancer; Internal medicine; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.003198342,0.0007067336,0.0005916661,0.0004250199,0.0002983123,0.0003100085,0.00050614,0.0006230949,0.001237852],"category_scores_gemma":[0.007407529,0.000316224,0.0004703623,0.0001987913,0.000793506,0.0007314867,0.0005586314,0.0004782382,0.0003037378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002419475,"about_ca_system_score_gemma":0.0004124191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005208374,"about_ca_topic_score_gemma":0.0004333817,"domain_scores_codex":[0.9983184,0.0009769734,0.0001077913,0.0002479394,0.0002374249,0.0001114799],"domain_scores_gemma":[0.9942226,0.002944945,0.0007051327,0.0007627989,0.0007807899,0.0005837462],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.09100887,0.05790859,0.50339,0.001385503,0.0006056192,0.00393801,0.003889608,0.003663605,0.1585206,0.0001808602,0.0008343974,0.1746744],"study_design_scores_gemma":[0.00367439,0.7248768,0.2467892,0.00002636555,0.0002570992,0.003382742,0.0007598402,0.004086033,0.01528012,0.0000600292,0.0007146946,0.0000925467],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983906,0.00008458825,0.001065901,0.0000152369,0.00000963424,0.0002776318,0.00003720792,0.00001311374,0.0001062203],"genre_scores_gemma":[0.9968082,0.00007098488,0.002552358,0.00004060636,0.00002197858,0.0003365792,0.00006956334,0.000003700978,0.00009592876],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003198342,"threshold_uncertainty_score":0.01691467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0444023226559933,"score_gpt":0.2896302024706481,"score_spread":0.2452278798146548,"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."}}