{"id":"W3104305368","doi":"10.1111/den.13896","title":"Artificial intelligence and deep learning for small bowel capsule endoscopy","year":2020,"lang":"en","type":"review","venue":"Digestive Endoscopy","topic":"Gastrointestinal Bleeding Diagnosis and Treatment","field":"Medicine","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Capsule endoscopy; Artificial intelligence; Deep learning; Applications of artificial intelligence; Standardization; Medicine; Computer science; Radiology","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":[0.0001863954,0.0007558378,0.002119727,0.0002004025,0.0002035541,0.00009344045,0.0001603633,0.0002173433,0.00004732419],"category_scores_gemma":[0.001369113,0.0006127582,0.0005235169,0.0002652595,0.0001646196,0.00004981759,0.0001155257,0.0007480513,0.0001308411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002339536,"about_ca_system_score_gemma":0.0002647174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004000719,"about_ca_topic_score_gemma":0.000005024886,"domain_scores_codex":[0.9973675,0.00009530458,0.0007454971,0.0009682176,0.0002278884,0.0005955967],"domain_scores_gemma":[0.997757,0.0009931939,0.0004059758,0.0002373741,0.0001553158,0.0004511577],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001083944,0.0002589289,0.0008677592,0.006879331,0.0004348846,0.0002751268,0.0001882084,0.0000041052,0.00001644419,0.0008963449,0.00006595744,0.9900045],"study_design_scores_gemma":[0.0006378837,0.005949959,0.0002095664,0.03091284,0.006355708,0.0005067069,0.0002612896,0.0003668457,0.0008058259,0.000325622,0.952794,0.0008737539],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00009640138,0.9917065,0.004613054,0.0002262793,0.000271397,0.002497976,0.00006505048,0.0001527518,0.0003706269],"genre_scores_gemma":[0.0006287662,0.9741089,0.02306054,0.00006662535,0.0005490008,0.0009475337,0.0003692572,0.0001413687,0.000127989],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9891307,"threshold_uncertainty_score":0.9996324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09227178267244532,"score_gpt":0.3505367110828707,"score_spread":0.2582649284104254,"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."}}