{"id":"W4410315374","doi":"10.1016/j.jat.2025.106199","title":"Universal discretization and sparse recovery","year":2025,"lang":"en","type":"article","venue":"Journal of Approximation Theory","topic":"Sparse and Compressive Sensing Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Lomonosov Moscow State University; Russian Science Foundation","keywords":"Mathematics; Discretization; Applied mathematics; Pure mathematics; Algebra over a field; Mathematical analysis","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009128228,0.0004804177,0.0009580827,0.0009867394,0.0004755127,0.001264019,0.0006045501,0.001018139,0.002951031],"category_scores_gemma":[0.005032949,0.000405389,0.0004473048,0.001260722,0.002636551,0.002489159,0.002027565,0.002578151,0.0004932412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005416372,"about_ca_system_score_gemma":0.0003858107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001107544,"about_ca_topic_score_gemma":0.001098228,"domain_scores_codex":[0.9994007,0.0002148795,0.00003340199,0.0001194213,0.0001873308,0.00004434217],"domain_scores_gemma":[0.9983748,0.0008891664,0.0001146999,0.0003771346,0.0001808563,0.00006326495],"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":[0.00002976797,0.00001315313,0.0001125339,0.00006020675,0.00001452586,0.00003837617,0.00007365037,0.01680579,0.001327836,0.9485983,0.002695949,0.03023008],"study_design_scores_gemma":[0.000006603027,0.00001340674,0.0001075296,0.00002046628,0.000007219339,0.00008950094,0.00003037167,0.1234734,0.0007178977,0.8702464,0.005278049,0.000009072395],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0126147,0.002764047,0.9682356,0.001543936,0.000434053,0.00001625472,0.00011869,0.0001541692,0.01411865],"genre_scores_gemma":[0.6551816,0.006675825,0.3049488,0.001244559,0.001187661,0.00007919762,0.0004928838,0.0002209022,0.0299686],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002951031,"threshold_uncertainty_score":0.009872139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004952967054561926,"score_gpt":0.2042627730815323,"score_spread":0.1993098060269704,"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."}}