{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005535948,0.0005873845,0.0007511729,0.00170088,0.0001522456,0.0008501034,0.0005045744,0.0009707605,0.003654235],"category_scores_gemma":[0.001149009,0.0001994589,0.0006682032,0.001641667,0.0003479022,0.001027943,0.0005334218,0.001864703,0.001746461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005389223,"about_ca_system_score_gemma":0.0007777046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001039352,"about_ca_topic_score_gemma":0.00153801,"domain_scores_codex":[0.999814,0.00004344681,0.00002793111,0.00003123923,0.00006829741,0.00001518352],"domain_scores_gemma":[0.9995911,0.0002486626,0.00004092567,0.000009770123,0.00008794126,0.00002172141],"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":[0.00004251812,0.00004672286,0.0001969302,0.01308435,0.0001196345,0.0001365046,0.00003585504,0.0008471696,0.0008124887,0.006774869,0.01992115,0.9579818],"study_design_scores_gemma":[0.00001595177,0.0001390546,0.001275191,0.006701816,0.0001682852,0.001146047,0.00004508581,0.0009375532,0.001018821,0.00922547,0.9792879,0.00003894594],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001857697,0.9962994,0.0009330548,0.0006325167,0.0002493585,0.000007123445,0.00003198668,0.00001648039,0.001644377],"genre_scores_gemma":[0.002111412,0.9952057,0.0009125184,0.0004086339,0.0002891627,0.00001113986,0.00006023633,0.000004557171,0.000996548],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003654235,"threshold_uncertainty_score":0.01222467,"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."}}