{"id":"W2091423854","doi":"10.1109/iccitechn.2014.7073100","title":"An automatic bleeding detection scheme in wireless capsule endoscopy based on statistical features in hue space","year":2014,"lang":"en","type":"article","venue":"","topic":"Gastrointestinal Bleeding Diagnosis and Treatment","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Hue; Artificial intelligence; HSL and HSV; RGB color space; Computer vision; Computer science; Color space; Capsule endoscopy; RGB color model; Pattern recognition (psychology); Standard deviation; Wireless; Color image; Mathematics; Image processing; Image (mathematics); Medicine; Statistics","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":[0.0003189986,0.0003315349,0.0004275206,0.0012409,0.0001902373,0.0004225097,0.0003994128,0.0002916674,0.000360144],"category_scores_gemma":[0.0008214324,0.0001713204,0.0003310355,0.0006687486,0.0002245606,0.0004537076,0.0002996558,0.0003030543,0.0002776511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002012586,"about_ca_system_score_gemma":0.0002780034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001209464,"about_ca_topic_score_gemma":0.001346387,"domain_scores_codex":[0.9997409,0.00003546152,0.00001934594,0.00005896097,0.0001177795,0.00002755918],"domain_scores_gemma":[0.9997023,0.00006542284,0.00006019366,0.00002398427,0.0001238667,0.0000242737],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005312192,0.0001427475,0.007497889,0.0001735547,0.00006255713,0.0004511711,0.0001187907,0.00850016,0.325389,0.001350094,0.00161594,0.6541669],"study_design_scores_gemma":[0.00005032665,0.0008188436,0.03451148,0.00002944107,0.0001320872,0.002414813,0.0001117057,0.6836839,0.2726723,0.001077103,0.004383974,0.0001139939],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.137736,0.0007214619,0.8586817,0.0001087574,0.00006719389,0.0000976116,0.0001312311,0.001487249,0.0009689019],"genre_scores_gemma":[0.6554208,0.0008504307,0.3412002,0.00007668653,0.00005554887,0.00008703806,0.0002983303,0.00004851467,0.001962402],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0012409,"threshold_uncertainty_score":0.002404809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009980371413849679,"score_gpt":0.2820257380723603,"score_spread":0.2720453666585106,"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."}}