{"id":"W2979734325","doi":"10.1049/iet-ipr.2019.0251","title":"Integrated system for automatic detection of representative video frames in wireless capsule endoscopy using adaptive sliding window singular value decomposition","year":2019,"lang":"en","type":"article","venue":"IET Image Processing","topic":"Gastrointestinal Bleeding Diagnosis and Treatment","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Sliding window protocol; Singular value decomposition; Capsule endoscopy; Computer science; Window (computing); Computer vision; Artificial intelligence; Wireless; Decomposition; Telecommunications; Radiology; Medicine","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":[0.001057205,0.0008359187,0.0009387321,0.002858605,0.0002601708,0.0008858885,0.0007287161,0.0008200685,0.00182165],"category_scores_gemma":[0.002134732,0.000257539,0.0005683684,0.001195928,0.0001426306,0.0007890523,0.0006963289,0.0004635073,0.002013833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003286159,"about_ca_system_score_gemma":0.000748789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002189728,"about_ca_topic_score_gemma":0.002437211,"domain_scores_codex":[0.999252,0.0001160201,0.00009929593,0.0002208749,0.0002514401,0.00006026648],"domain_scores_gemma":[0.9991139,0.0001393084,0.0001308836,0.00009005646,0.0004617718,0.00006411272],"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":[0.001177869,0.0002116489,0.004565262,0.0007717138,0.0002161941,0.0003866948,0.0001885258,0.003326383,0.1761237,0.0007856162,0.01529238,0.7969541],"study_design_scores_gemma":[0.0003118922,0.001187257,0.03635542,0.0001757594,0.0004286674,0.001601389,0.0003653201,0.62337,0.2939176,0.002468154,0.03956679,0.0002518292],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04589114,0.001994914,0.9274263,0.0002221464,0.000258255,0.0006004906,0.002484288,0.01919045,0.001932114],"genre_scores_gemma":[0.2180081,0.001316598,0.7684841,0.0001769685,0.0001694281,0.000843286,0.006804178,0.0002984828,0.003898876],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002858605,"threshold_uncertainty_score":0.006093979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02037734945326444,"score_gpt":0.3133394778295752,"score_spread":0.2929621283763107,"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."}}