{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001996906,0.0002189693,0.0004183232,0.0002919786,0.0001041575,0.00003705681,0.00005649773,0.00004634435,0.00003380099],"category_scores_gemma":[0.0002493951,0.0001918635,0.0001634226,0.0003246558,0.00005129427,0.000100855,0.000010483,0.0005270654,0.00001479125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002754246,"about_ca_system_score_gemma":0.00006343744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001348449,"about_ca_topic_score_gemma":0.000004104769,"domain_scores_codex":[0.9984211,0.00007079927,0.000519231,0.0002459155,0.0003520272,0.0003909046],"domain_scores_gemma":[0.9991356,0.00008691273,0.0002648686,0.00009206149,0.0001263307,0.0002942834],"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":[0.0002667207,0.0001968861,0.08012959,0.0000437429,0.00007161278,0.00130203,0.0006083005,0.01550696,0.9014308,0.000002549976,0.00008126764,0.0003595827],"study_design_scores_gemma":[0.003392785,0.0008115597,0.04516911,0.0008500072,0.0001485885,0.003519935,0.0005560117,0.2607216,0.684671,0.000007796942,0.000007687751,0.0001438478],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982528,0.0000687157,0.0001311023,0.0007825076,0.0003250352,0.0001896271,0.000004405559,0.0001083112,0.0001374732],"genre_scores_gemma":[0.9942445,0.00002752239,0.005161754,0.0001353093,0.0003858758,0.000001447282,9.315742e-7,0.00003665263,0.000005976156],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2452146,"threshold_uncertainty_score":0.7823967,"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."}}