{"id":"W47188411","doi":"10.1007/978-3-7643-8969-7_17","title":"Sampling and Pseudo-Differential Operators","year":2008,"lang":"en","type":"book-chapter","venue":"Birkhäuser Basel eBooks","topic":"Mathematical Analysis and Transform Methods","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Sampling (signal processing); Differential (mechanical device); Computer science; Mathematics; Statistics; Engineering; Computer vision; Aerospace engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003999839,0.0007207974,0.001243125,0.0002569554,0.0002642939,0.00009869637,0.0002753081,0.0005518562,0.001433693],"category_scores_gemma":[0.00009010925,0.0005702984,0.0004924691,0.00001991642,0.0002327176,0.00004580965,0.0001305791,0.0005995125,0.00007317353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003807041,"about_ca_system_score_gemma":0.00008506659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001254123,"about_ca_topic_score_gemma":0.00002824115,"domain_scores_codex":[0.9974211,0.00005933389,0.0008900924,0.0006688486,0.0005497186,0.0004108753],"domain_scores_gemma":[0.9980147,0.0006378098,0.0002438783,0.0006824448,0.0001221754,0.0002989413],"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":[0.00003132091,0.00005547645,0.00000703771,0.0007823821,0.0005988148,0.00005768358,0.000579791,2.04071e-7,0.0001919177,0.9808253,0.001413782,0.01545631],"study_design_scores_gemma":[0.001078567,0.0001223917,0.00001503249,0.0008977514,0.001543042,0.00015145,0.00002595537,0.0004565714,0.001030789,0.8305212,0.1625018,0.001655536],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004642482,0.0003280882,0.0435891,0.00007092675,0.0002242035,0.0008242453,0.0001133756,0.0003295811,0.949878],"genre_scores_gemma":[0.006726334,0.0005309274,0.12019,0.000266952,0.0006860653,0.00006361009,0.00003754667,0.0004395282,0.8710591],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.161088,"threshold_uncertainty_score":0.9996749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.112719204514421,"score_gpt":0.3268847926138806,"score_spread":0.2141655880994596,"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."}}