{"id":"W2278366593","doi":"10.1016/j.cgh.2015.12.047","title":"Targeted Biopsies Identify Larger Proportions of Patients With Colonic Neoplasia Undergoing High-Definition Colonoscopy, Dye Chromoendoscopy, or Electronic Virtual Chromoendoscopy","year":2016,"lang":"en","type":"article","venue":"Clinical Gastroenterology and Hepatology","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":75,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Chromoendoscopy; Medicine; Colonoscopy; Biopsy; Inflammatory bowel disease; Dysplasia; Endoscopy; Gastroenterology; Ulcerative colitis; Internal medicine; Colorectal cancer; Disease; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000420849,0.0003474841,0.000501309,0.0008082711,0.0003859326,0.0007884583,0.000258471,0.0006492293,0.00580628],"category_scores_gemma":[0.003170117,0.0002030995,0.0005804141,0.0006651449,0.000217183,0.0006701314,0.000418618,0.0005288301,0.0006640963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001860644,"about_ca_system_score_gemma":0.0001989609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002099215,"about_ca_topic_score_gemma":0.00563387,"domain_scores_codex":[0.999519,0.0001377321,0.00004361679,0.0001272256,0.0001060186,0.00006637663],"domain_scores_gemma":[0.9982526,0.0005776515,0.0006660695,0.0001379317,0.0001244022,0.0002414613],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002426425,0.00004060314,0.9874422,0.00003338764,0.00008400147,0.0003459422,0.00006483712,0.00005929985,0.003649051,0.00004510783,0.0002809829,0.007711824],"study_design_scores_gemma":[0.000007283772,0.0000870872,0.9951319,0.00001920391,0.0001234537,0.002440224,0.0002808307,0.0003461578,0.000710178,0.00007919035,0.000770079,0.000004579326],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944936,0.001606049,0.0008969453,0.0002405193,0.00004112901,0.00001653982,0.0002122412,0.00002661198,0.00246639],"genre_scores_gemma":[0.9982158,0.0003931495,0.0005356949,0.0002134832,0.0000385049,0.000006260107,0.0001823231,0.00001339765,0.0004013313],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00580628,"threshold_uncertainty_score":0.0194239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01881528634590783,"score_gpt":0.2997687863321965,"score_spread":0.2809534999862887,"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."}}