{"id":"W1989986853","doi":"10.1016/j.media.2012.11.007","title":"Regional heart motion abnormality detection: An information theoretic approach","year":2013,"lang":"en","type":"article","venue":"Medical Image Analysis","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"CARE Canada; McGill University; London Health Sciences Centre; St Joseph's Health Care; University of Alberta","funders":"","keywords":"Abnormality; Artificial intelligence; Computer science; Motion (physics); Computer vision; Pattern recognition (psychology); 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":[0.002650793,0.001154737,0.002315676,0.003511078,0.0006874921,0.002619,0.001980076,0.001576523,0.001583141],"category_scores_gemma":[0.007992576,0.000829658,0.001826076,0.001895242,0.002239824,0.002919087,0.001727256,0.001477543,0.0003534089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001353932,"about_ca_system_score_gemma":0.00113215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001849579,"about_ca_topic_score_gemma":0.001382182,"domain_scores_codex":[0.998738,0.000431478,0.00008676489,0.0002492658,0.0004236121,0.00007082185],"domain_scores_gemma":[0.9953918,0.003435937,0.0003090152,0.0002919356,0.0004810621,0.0000902824],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002404555,0.0002488116,0.002067814,0.0004313216,0.0004991217,0.0003333832,0.0001847594,0.5374126,0.01051008,0.2069661,0.003652062,0.2374535],"study_design_scores_gemma":[0.000007978882,0.00006038048,0.0004339934,0.00001772826,0.00006813739,0.0001094503,0.00001882189,0.9279597,0.001117835,0.06970354,0.0004780566,0.00002447186],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004079941,0.0004889453,0.9941673,0.0002933859,0.00002226761,0.000018519,0.00005097962,0.00005262503,0.0008260486],"genre_scores_gemma":[0.5498307,0.003148124,0.4404792,0.0004612939,0.0007770188,0.0002453181,0.0004067972,0.000123626,0.004527781],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003511078,"threshold_uncertainty_score":0.01401895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008462233525864483,"score_gpt":0.2465222163651762,"score_spread":0.2380599828393117,"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."}}