{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001151678,0.0001967325,0.0002775396,0.00006192682,0.0001205304,0.00001765932,0.0001001418,0.00003955315,0.0001241548],"category_scores_gemma":[0.00005065308,0.0001670283,0.0001416203,0.00008240651,0.0000913495,0.00006066527,0.00002850293,0.0001983769,0.00004768738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002321336,"about_ca_system_score_gemma":0.00006647971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006883822,"about_ca_topic_score_gemma":0.00001400924,"domain_scores_codex":[0.9987604,0.00002160339,0.0001813194,0.000308881,0.0001640163,0.0005637548],"domain_scores_gemma":[0.9993877,0.0000574744,0.00009114894,0.000245238,0.00007234781,0.0001460301],"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":[0.000511279,0.0009334366,0.00938416,0.0001238003,0.0001220189,0.00007766549,0.0002764736,0.000002574099,0.9425605,0.003148478,0.0424953,0.0003643406],"study_design_scores_gemma":[0.004982376,0.002990251,0.02612289,0.0002681503,0.0003018173,0.0001321451,0.00004475564,0.0003214661,0.9600425,0.000764968,0.003746408,0.0002822534],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9861583,0.0002327143,0.004231244,0.007460705,0.0001227169,0.0007827101,0.00001403541,0.0001145694,0.0008829908],"genre_scores_gemma":[0.9465298,0.00003152083,0.05102285,0.001962427,0.0001096925,0.0001401853,0.00005332787,0.00003920707,0.0001109738],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04679161,"threshold_uncertainty_score":0.6811217,"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."}}