{"id":"W4291608075","doi":"10.1038/s41598-022-17502-7","title":"Edge artificial intelligence wireless video capsule endoscopy","year":2022,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Gastrointestinal Bleeding Diagnosis and Treatment","field":"Medicine","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"Aage og Johanne Louis-Hansens Fond; Syddansk Universitet; Odense Universitetshospital","keywords":"Capsule endoscopy; Computer science; Enhanced Data Rates for GSM Evolution; Artificial intelligence; Endoscopy; Wireless; Computer vision; Medicine; Radiology; Telecommunications","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":[0.0002421352,0.0003685699,0.0002755175,0.0002667822,0.00009987496,0.0005344758,0.0006895392,0.0005321644,0.002189841],"category_scores_gemma":[0.0007525065,0.0001610352,0.0002899756,0.0001990425,0.0001988706,0.0007608254,0.0006686953,0.0003658538,0.0008772706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000200264,"about_ca_system_score_gemma":0.0002148111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004732232,"about_ca_topic_score_gemma":0.0004577126,"domain_scores_codex":[0.9997463,0.00004663986,0.00001655206,0.00004360583,0.000113257,0.00003375715],"domain_scores_gemma":[0.9997765,0.00005168698,0.00004002747,0.0000324127,0.0000760922,0.00002332303],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006276434,0.0002083837,0.002936484,0.0006101055,0.0001112654,0.001070905,0.0001013712,0.04562456,0.350829,0.007989993,0.01285988,0.5770305],"study_design_scores_gemma":[0.00007931961,0.001047219,0.004198591,0.00007848018,0.00008413931,0.001587742,0.00004377225,0.7506179,0.173176,0.003468744,0.06553899,0.00007908003],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06707001,0.001427622,0.9136919,0.0006113897,0.0003423608,0.0001663173,0.0002066308,0.002412443,0.01407134],"genre_scores_gemma":[0.7271806,0.001501753,0.252167,0.001123811,0.0001693925,0.0002194511,0.0005243337,0.0001938586,0.01691978],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002189841,"threshold_uncertainty_score":0.007325768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03524083617635343,"score_gpt":0.2905614202632819,"score_spread":0.2553205840869284,"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."}}