{"id":"W4384380223","doi":"10.17023/k6qz-5h61","title":"Blind Deconvolution of Fundamental and Harmonic Ultrasound Images","year":2024,"lang":"en","type":"other","venue":"Open Archive Toulouse Archive Ouverte (University of Toulouse)","topic":"Ultrasound Imaging and Elastography","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Deconvolution; Blind deconvolution; Computer science; Artificial intelligence; Harmonic; Computer vision; Harmonic analysis; Algorithm; Mathematics; Acoustics; Physics; Mathematical analysis","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":[0.0007657909,0.000704599,0.0005675948,0.0008582805,0.0002546655,0.0006022215,0.0005199854,0.000832866,0.002101332],"category_scores_gemma":[0.002031605,0.000215417,0.0006109821,0.0004920836,0.0006532706,0.0007275136,0.0007936539,0.0005174949,0.000972593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003548466,"about_ca_system_score_gemma":0.0009376741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001189715,"about_ca_topic_score_gemma":0.0009480349,"domain_scores_codex":[0.999662,0.00006268731,0.00001719693,0.00007136307,0.0001444964,0.00004219027],"domain_scores_gemma":[0.9995372,0.0001478457,0.0000728526,0.0001028035,0.000117002,0.00002232492],"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":[0.0006538244,0.0001407785,0.001324778,0.000525533,0.00008186739,0.0003437505,0.0003272133,0.1200227,0.2893019,0.04232588,0.003155313,0.5417963],"study_design_scores_gemma":[0.00002537661,0.0001150102,0.001586643,0.00002694895,0.00003864238,0.0008096558,0.00005957203,0.7939663,0.1790305,0.01515732,0.009137898,0.00004612],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03823613,0.0003163191,0.9572719,0.0001341036,0.00006782165,0.00003692276,0.00009748628,0.0006052585,0.003233992],"genre_scores_gemma":[0.3588161,0.0008504644,0.6265304,0.00009605446,0.00008954506,0.00007589003,0.0003240558,0.0001957531,0.01302178],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002101332,"threshold_uncertainty_score":0.007029653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01335501581540362,"score_gpt":0.2454300185146379,"score_spread":0.2320750026992342,"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."}}