{"id":"W4393042598","doi":"10.1145/3652025","title":"Fast Multivariate Multipoint Evaluation over All Finite Fields","year":2024,"lang":"en","type":"article","venue":"Journal of the ACM","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Indian Institute of Technology Bombay; Department of Atomic Energy, Government of India","keywords":"Multivariate statistics; Computer science; Multivariate analysis; Algorithm; Machine learning","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":[],"consensus_categories":[],"category_scores_codex":[0.0003470326,0.00007837384,0.0001232831,0.00007395337,0.00001816496,0.00003290817,0.0004566416,0.00004625845,0.0001079736],"category_scores_gemma":[0.0007513356,0.0000467329,0.0001789848,0.0001664112,0.00001109585,0.0001484586,0.0001108563,0.0003140792,0.00001309388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001005635,"about_ca_system_score_gemma":0.00001178729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005413897,"about_ca_topic_score_gemma":0.000003193975,"domain_scores_codex":[0.9992803,0.00003931959,0.0002585596,0.00005671949,0.000272362,0.00009276316],"domain_scores_gemma":[0.9993289,0.0001648581,0.00006063561,0.0003553757,0.00005761761,0.00003263911],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002162916,0.00003757929,0.0001830042,0.00006381953,0.0005312667,0.00002517547,0.0008174646,0.7948377,0.04349742,0.00008698231,0.0210042,0.1388938],"study_design_scores_gemma":[0.0001912723,0.00003594359,0.001844183,0.0001654394,0.0001853265,0.00002118724,0.00001676364,0.9439413,0.01284052,0.0209977,0.01964854,0.0001118312],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2956634,0.00485226,0.6834801,0.009233495,0.003440734,0.0005062698,0.0000118141,0.0005473838,0.00226449],"genre_scores_gemma":[0.9813684,0.00008133757,0.01814086,0.0001224886,0.0001879254,0.000003309803,4.257276e-7,0.00001582402,0.0000793959],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.685705,"threshold_uncertainty_score":0.1905712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02456462603007133,"score_gpt":0.3175153950708174,"score_spread":0.2929507690407461,"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."}}