{"id":"W2742596270","doi":"10.1145/3115936.3115946","title":"Plain, and Somehow Sparse, Univariate Polynomial Division on Graphics Processing Units","year":2017,"lang":"en","type":"article","venue":"","topic":"Cryptography and Residue Arithmetic","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"CUDA; Division (mathematics); Computer science; Euclidean geometry; Univariate; Graphics; Parallel computing; General-purpose computing on graphics processing units; Graphics processing unit; Euclidean distance; Theoretical computer science; Computer graphics (images); Computational science; Mathematics; Artificial intelligence; Arithmetic; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003489897,0.0004365224,0.0003949531,0.0004638013,0.0004147083,0.001343398,0.0008849849,0.0003677992,0.003841352],"category_scores_gemma":[0.002703686,0.0002139495,0.0003627351,0.00132632,0.0007535646,0.002363599,0.001152786,0.0008552505,0.001074527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005737492,"about_ca_system_score_gemma":0.000815561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001180988,"about_ca_topic_score_gemma":0.00272276,"domain_scores_codex":[0.9993594,0.0001002471,0.00005052321,0.0001259281,0.000251926,0.000111874],"domain_scores_gemma":[0.9993147,0.0001124563,0.00005773261,0.0003440055,0.0001292095,0.0000418221],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009566272,0.0001388097,0.004379156,0.0002936719,0.00007424031,0.0007185616,0.0004073292,0.1604604,0.06705359,0.3610933,0.01277715,0.3916472],"study_design_scores_gemma":[0.00008768391,0.0002837696,0.0018665,0.00004265441,0.00003787215,0.0006308054,0.0001395537,0.7424349,0.0595593,0.1613853,0.03347957,0.00005211739],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1238484,0.0005753051,0.8571332,0.0003224119,0.000223603,0.0000695021,0.0002086381,0.002830339,0.01478859],"genre_scores_gemma":[0.6551329,0.0004040745,0.3353512,0.0001562347,0.00009813703,0.00005883049,0.0004080695,0.0003825547,0.008007928],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003841352,"threshold_uncertainty_score":0.01285058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02952487828630799,"score_gpt":0.2540613784346907,"score_spread":0.2245365001483828,"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."}}