{"id":"W2258579675","doi":"10.1109/tsp.2015.2486742","title":"Sparse Signal Recovery Based Imaging in the Presence of Mode Conversion With Application to Non-Destructive Testing","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Signal Processing","topic":"Ultrasonics and Acoustic Wave Propagation","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Capon; Computer science; Algorithm; Signal processing; Sparse approximation; Beamforming; Speech recognition; Artificial intelligence; Telecommunications","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":[0.0005330784,0.0006733249,0.0005926868,0.0005562506,0.0001457336,0.0005577421,0.0009488924,0.0009123633,0.0008600054],"category_scores_gemma":[0.0018196,0.0003588267,0.0005544527,0.0005507205,0.0007120493,0.001130311,0.0008720148,0.0009275971,0.0004038544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001939609,"about_ca_system_score_gemma":0.000405953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005105927,"about_ca_topic_score_gemma":0.0005029222,"domain_scores_codex":[0.999495,0.0001163525,0.00001797447,0.00006260144,0.0002811441,0.0000267978],"domain_scores_gemma":[0.9992676,0.0003386462,0.0001175753,0.00008739604,0.0001587526,0.00003000797],"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":[0.0001978162,0.0001293446,0.001077536,0.0004932827,0.00009287187,0.0007587665,0.0003062757,0.2652748,0.222423,0.03703166,0.002011042,0.4702036],"study_design_scores_gemma":[0.00001161765,0.0000733982,0.0001956727,0.000010995,0.00001504643,0.000265043,0.00001901728,0.9730641,0.02041418,0.004188666,0.001725234,0.0000169847],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004294463,0.0001170187,0.9948774,0.00009906867,0.00001507206,0.0000159628,0.000009253323,0.000122439,0.0004493623],"genre_scores_gemma":[0.1710066,0.0007305457,0.8250469,0.0002208453,0.0001161419,0.0001295752,0.0001011162,0.00007172514,0.002576619],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0009488924,"threshold_uncertainty_score":0.002876997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01546288073387928,"score_gpt":0.2258838284068931,"score_spread":0.2104209476730138,"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."}}