{"id":"W3021965851","doi":"10.1016/j.gie.2020.04.074","title":"A primer on artificial intelligence and its application to endoscopy","year":2020,"lang":"en","type":"review","venue":"Gastrointestinal Endoscopy","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Medicine; Workflow; Capsule endoscopy; Endoscopy; Artificial intelligence; Pathology; Radiology; Computer science; Database","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":[0.001515484,0.001239016,0.001438154,0.004165053,0.0004795488,0.002595961,0.001306185,0.003066669,0.008941859],"category_scores_gemma":[0.003662128,0.0005355061,0.001294376,0.004990486,0.001942683,0.004520848,0.001293768,0.00669119,0.005012849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001280639,"about_ca_system_score_gemma":0.001517287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001457088,"about_ca_topic_score_gemma":0.001773245,"domain_scores_codex":[0.9990959,0.0003203525,0.0001373035,0.00009582184,0.000298404,0.00005230533],"domain_scores_gemma":[0.9970734,0.002268558,0.0001637421,0.00008161191,0.0003228096,0.00008984196],"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":[0.00007635776,0.0001237401,0.0003182602,0.01868421,0.0001232598,0.0004732639,0.0005629318,0.0009801441,0.0009671198,0.07713108,0.2817672,0.6187924],"study_design_scores_gemma":[0.000004420119,0.00003572208,0.0003186271,0.004596561,0.00001301773,0.000641011,0.00007371033,0.0001135769,0.00006747185,0.01453678,0.9795832,0.00001590314],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00006122133,0.9888518,0.001056644,0.003220917,0.001865151,0.00001187509,0.00003185357,0.0000223255,0.004878205],"genre_scores_gemma":[0.0009500905,0.9859059,0.001645707,0.004323056,0.003427601,0.0000420749,0.00005919681,0.00001872501,0.003627629],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.008941859,"threshold_uncertainty_score":0.02991349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06631365699342158,"score_gpt":0.3521310702866911,"score_spread":0.2858174132932695,"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."}}