{"id":"W4396591359","doi":"10.1137/23m1552073","title":"Hybrid Dealiasing of Complex Convolutions","year":2024,"lang":"en","type":"article","venue":"SIAM Journal on Scientific Computing","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002259901,0.0001649149,0.0002334438,0.000726209,0.0007559118,0.001703911,0.001061682,0.00003440775,0.00003111922],"category_scores_gemma":[0.0001119832,0.0001479855,0.0001907618,0.001077955,0.0001680488,0.0003695315,0.0002860349,0.0003999398,0.00007613581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001026117,"about_ca_system_score_gemma":0.0002571783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002181173,"about_ca_topic_score_gemma":1.915488e-7,"domain_scores_codex":[0.9977093,0.0001724444,0.0006349385,0.0004720872,0.0006255334,0.0003857299],"domain_scores_gemma":[0.998507,0.0003126138,0.0002393509,0.000449602,0.0003366536,0.0001547992],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001238341,0.0002927261,0.0001952048,0.0001717797,0.0001404964,0.0003408391,0.00295416,0.2053323,0.01041357,0.339157,0.1225719,0.3184177],"study_design_scores_gemma":[0.0001168523,0.00007420446,0.0002002425,0.00042799,0.000006283392,0.000481928,0.00001924035,0.9680588,0.002677647,0.006009925,0.02175359,0.0001733563],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03044841,0.000459346,0.9613068,0.0006267119,0.003079715,0.00008644412,0.000003394742,0.0005272744,0.003461929],"genre_scores_gemma":[0.8587525,0.000007274703,0.1406062,0.00008719019,0.000159899,2.963234e-7,0.000003095203,0.00001108101,0.0003724172],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8283041,"threshold_uncertainty_score":0.9993324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04613008819406583,"score_gpt":0.316902337985233,"score_spread":0.2707722497911672,"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."}}