{"id":"W1978304678","doi":"10.1049/el.2011.2211","title":"Low-complexity colour-space for capsule endoscopy image compression","year":2011,"lang":"en","type":"article","venue":"Electronics Letters","topic":"Gastrointestinal Bleeding Diagnosis and Treatment","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Capsule endoscopy; Computer vision; Compression (physics); Image compression; Artificial intelligence; Space (punctuation); Computer science; Capsule; Image (mathematics); Image processing; Materials science; Geology; Medicine; Radiology; Composite material","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":[0.0003824063,0.0005800038,0.0003294842,0.0006530287,0.0002727287,0.0008002243,0.0005436189,0.0006271145,0.003932859],"category_scores_gemma":[0.00161408,0.0001227253,0.0002401849,0.0008463128,0.0003695944,0.001007172,0.000556677,0.000643256,0.001013448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002806147,"about_ca_system_score_gemma":0.0002299807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003089448,"about_ca_topic_score_gemma":0.0003758864,"domain_scores_codex":[0.9996033,0.0001027238,0.00002060232,0.00003465045,0.0002116245,0.00002706639],"domain_scores_gemma":[0.9991417,0.0003678591,0.00006863319,0.0001116949,0.0002777917,0.00003236359],"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":[0.001217787,0.000110043,0.0004932421,0.0004396916,0.00005046349,0.0003795588,0.00009842466,0.01980017,0.323408,0.02656234,0.006693665,0.6207466],"study_design_scores_gemma":[0.0001031745,0.0008804427,0.00175149,0.00009400886,0.00006711952,0.002670024,0.00005144083,0.5363611,0.4117223,0.009438,0.03673888,0.0001220097],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03232616,0.002718824,0.9600262,0.0003034098,0.0002118041,0.00007063009,0.00008566787,0.0007552155,0.003502051],"genre_scores_gemma":[0.4622529,0.002716489,0.5247393,0.0003649551,0.0004557607,0.000153952,0.0003250956,0.0001306253,0.008860851],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003932859,"threshold_uncertainty_score":0.01315671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03942084847579585,"score_gpt":0.2771458903093533,"score_spread":0.2377250418335575,"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."}}