{"id":"W3007530163","doi":"10.1093/jcag/gwz047.272","title":"A273 ENDOSCOPIC RETROGRADE CHOLANGIOPANCREATOGRAPHY IN A TERTIARY CANADIAN HOSPITAL: OPTIMIZING TISSUE SAMPLING TECHNIQUES","year":2020,"lang":"en","type":"article","venue":"Journal of the Canadian Association of Gastroenterology","topic":"Pancreatic and Hepatic Oncology Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia Hospital; Queen's University; Kelowna General Hospital; University of Toronto","funders":"","keywords":"Medicine; Endoscopic retrograde cholangiopancreatography; Radiology; Sampling (signal processing); Biopsy; Fluoroscopy; Pancreatic cancer; Malignancy; Biliary disease; Endoscopic ultrasound; Cancer; Surgery; Pancreatitis; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"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":[0.002407686,0.000366459,0.0003448606,0.001616644,0.001465481,0.001858852,0.0008769108,0.0003891323,0.0009597916],"category_scores_gemma":[0.007405699,0.0003496589,0.0002755677,0.003478026,0.0007545951,0.0003488007,0.0008989221,0.0004085173,0.0002140298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01922732,"about_ca_system_score_gemma":0.02510681,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7957749,"about_ca_topic_score_gemma":0.8919898,"domain_scores_codex":[0.9974179,0.0004162629,0.0002252033,0.000302597,0.001039859,0.000598114],"domain_scores_gemma":[0.9925298,0.0008210319,0.001849453,0.0001986486,0.003291981,0.001309068],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000190649,0.00005151724,0.9603602,0.0003697213,0.00004026771,0.00150657,0.001241156,0.0001951723,0.002225352,0.000117401,0.00194687,0.03175513],"study_design_scores_gemma":[0.000008796379,0.0001268743,0.9920799,0.0001692809,0.00003582331,0.001388751,0.002318566,0.0005273063,0.0006455023,0.00001897374,0.00266105,0.00001915356],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897967,0.004415298,0.0004192016,0.001219477,0.00003367465,0.0001427342,0.0005828466,0.00003511589,0.003355167],"genre_scores_gemma":[0.9950971,0.002039258,0.001712579,0.0003703059,0.00002270139,0.00002082624,0.0003577298,0.00001125385,0.0003682401],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7957749,"threshold_uncertainty_score":0.4108555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01625351543588404,"score_gpt":0.2850266829398541,"score_spread":0.26877316750397,"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."}}