{"id":"W4365447656","doi":"10.3390/math11081839","title":"A New Discretization Scheme for the Non-Isotropic Stockwell Transform","year":2023,"lang":"en","type":"article","venue":"Mathematics","topic":"Image and Signal Denoising Methods","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Discretization; Isotropy; Unison; Scheme (mathematics); Grid; Mathematics; Applied mathematics; Scale (ratio); Mathematical optimization; Algorithm; Computer science; Mathematical analysis; Geometry; Physics; Acoustics; Optics","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":[0.0006184127,0.0003406207,0.0003734204,0.0003425567,0.0003202314,0.0007122355,0.0007328989,0.0008115245,0.002013657],"category_scores_gemma":[0.001330888,0.0002074412,0.0003695884,0.0003934715,0.0006409315,0.001110796,0.0007927616,0.001098432,0.0006658245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004827772,"about_ca_system_score_gemma":0.0005710394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001499728,"about_ca_topic_score_gemma":0.002143239,"domain_scores_codex":[0.999763,0.00005384815,0.00002134297,0.00003482365,0.0001052761,0.00002184931],"domain_scores_gemma":[0.9996947,0.00007680099,0.00003791276,0.0000802806,0.0000840603,0.00002632883],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001054434,0.00005774888,0.0007014773,0.0001353434,0.00001930483,0.0001685954,0.000229352,0.1220074,0.09265756,0.6710818,0.003806456,0.1090296],"study_design_scores_gemma":[0.00002809411,0.00005740394,0.0002205564,0.00001808201,0.000007909955,0.0001018364,0.00002924676,0.9365778,0.01195063,0.03811349,0.01286934,0.00002551914],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00504685,0.00009261407,0.9927375,0.00009822922,0.00008051201,0.00002021779,0.00003115414,0.00006514188,0.001827811],"genre_scores_gemma":[0.1597213,0.0003960922,0.8336097,0.0002099835,0.00008761801,0.0001388674,0.0001651559,0.0001262317,0.005544974],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002013657,"threshold_uncertainty_score":0.006736338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03203101538351822,"score_gpt":0.3001132177989564,"score_spread":0.2680822024154382,"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."}}