{"id":"W3094715799","doi":"10.1109/jsen.2020.3034831","title":"Automated Detection of Bleeding in Capsule Endoscopy Using On-Chip Multispectral Imaging Sensors","year":2020,"lang":"en","type":"article","venue":"IEEE Sensors Journal","topic":"Gastrointestinal Bleeding Diagnosis and Treatment","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Multispectral image; Capsule endoscopy; Artificial intelligence; Computer science; Computer vision; Pixel; Image sensor; Object detection; RGB color model; Biomedical engineering; Pattern recognition (psychology); Medicine; Radiology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002654101,0.0004746015,0.000517324,0.0004538498,0.0001377656,0.0004133171,0.0007133493,0.0005602831,0.0005491676],"category_scores_gemma":[0.000583279,0.0002815736,0.0003538143,0.0003628449,0.0001327244,0.000394403,0.0002570804,0.0002085531,0.0002766602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002871009,"about_ca_system_score_gemma":0.0001682985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008501476,"about_ca_topic_score_gemma":0.001255732,"domain_scores_codex":[0.9995925,0.00005688893,0.00001637764,0.00008959398,0.000214302,0.00003043483],"domain_scores_gemma":[0.9996371,0.00009084021,0.0001011963,0.00003847682,0.0001142032,0.00001815583],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006909646,0.0002437151,0.006732376,0.0003911741,0.0001112953,0.0005092986,0.0001013585,0.01568856,0.7820292,0.000442269,0.001752947,0.1913068],"study_design_scores_gemma":[0.00005538916,0.001497649,0.02414294,0.00003402194,0.0001335519,0.00139267,0.0000813634,0.4965001,0.4711671,0.0003421416,0.004574568,0.00007845384],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5162532,0.002539639,0.4745142,0.0002294287,0.000168844,0.0001555279,0.0002654975,0.002173753,0.003699803],"genre_scores_gemma":[0.8733913,0.0007585466,0.1222101,0.0001808837,0.0000394894,0.00008466682,0.0001934643,0.00003681691,0.003104653],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008501476,"threshold_uncertainty_score":0.002083063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0363364889819079,"score_gpt":0.3000953297535419,"score_spread":0.263758840771634,"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."}}