{"id":"W3193912900","doi":"10.1016/j.gie.2021.04.005","title":"Clinician perspectives on the use of artificial intelligence in inflammatory bowel disease","year":2021,"lang":"en","type":"letter","venue":"Gastrointestinal Endoscopy","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"National Institute for Health and Care Research","keywords":"Medicine; Scopus; Ulcerative colitis; Inflammatory bowel disease; Gastroenterology; Colitis; Internal medicine; Disease; MEDLINE","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002967508,0.0003334127,0.000442805,0.0002925183,0.00006082481,0.00005713641,0.0001649322,0.0001384525,0.0001851098],"category_scores_gemma":[0.004008457,0.0002624301,0.0002980809,0.0003050296,0.0003021585,0.00005972772,0.00007315912,0.00229188,0.00002522045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002299635,"about_ca_system_score_gemma":0.0005115296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000174759,"about_ca_topic_score_gemma":0.00005970545,"domain_scores_codex":[0.9975789,0.000310174,0.0006257303,0.0005763719,0.0005264335,0.0003824472],"domain_scores_gemma":[0.9972816,0.0014458,0.0003100169,0.0006059352,0.0002463686,0.0001103019],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.1647469,0.003100085,0.1382017,0.004822975,0.0006915839,0.04712279,0.005738036,0.005350779,0.01185367,0.003337309,0.5714878,0.04354644],"study_design_scores_gemma":[0.006743165,0.08707176,0.3747851,0.156198,0.00393887,0.01761062,0.03184944,0.08281054,0.01347666,0.006221283,0.2112864,0.008008109],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3540738,0.001035774,0.02370796,0.6151359,0.001439461,0.002820197,0.0002459288,0.0003492949,0.001191696],"genre_scores_gemma":[0.4782445,0.0003318134,0.07614799,0.4220688,0.01820076,0.0007196192,0.0005857918,0.0005366645,0.003164139],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.3602014,"threshold_uncertainty_score":0.9999828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06670971529211615,"score_gpt":0.303659964340855,"score_spread":0.2369502490487388,"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."}}