{"id":"W4399766037","doi":"10.32920/26052823","title":"Decorrelated Compounding in Ultrasound Images","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University; Toronto Metropolitan University","funders":"","keywords":"Compounding; Ultrasound; Ultrasound imaging; Computer science; Computer vision; Artificial intelligence; Acoustics; Medicine; Physics","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":[0.0004309959,0.000558617,0.0003700843,0.0007039557,0.000178413,0.0008621266,0.0003449855,0.0004226076,0.00300801],"category_scores_gemma":[0.001941924,0.000268261,0.0004152154,0.0006999259,0.0005499004,0.0008238374,0.0005309957,0.0004629117,0.0007456531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003326366,"about_ca_system_score_gemma":0.0004065771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005837841,"about_ca_topic_score_gemma":0.000873413,"domain_scores_codex":[0.999657,0.00007402334,0.00002035789,0.00006701529,0.0001585555,0.00002297615],"domain_scores_gemma":[0.9992697,0.0003150965,0.00009390742,0.0001305367,0.0001723296,0.0000184308],"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":[0.0002313532,0.0000544392,0.001009788,0.0004007791,0.00005786959,0.0005326468,0.0003245031,0.07377031,0.3262536,0.04124479,0.00190104,0.5542189],"study_design_scores_gemma":[0.00002279608,0.0002379512,0.003023883,0.00005237218,0.00004891275,0.001124331,0.0001232086,0.7511678,0.2093787,0.01426117,0.02049272,0.00006614059],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05840266,0.0008270877,0.9344925,0.0001697665,0.00009249272,0.00008551047,0.00009364585,0.0005287094,0.005307628],"genre_scores_gemma":[0.2539414,0.001896758,0.7342615,0.0001410911,0.000117644,0.00007256938,0.0003010425,0.0001859949,0.009082119],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00300801,"threshold_uncertainty_score":0.01006281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02635237531810344,"score_gpt":0.3566785819640538,"score_spread":0.3303262066459504,"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."}}