{"id":"W4395959037","doi":"10.1145/3649411.3649416","title":"Regular Expressions on Modern GPGPUs","year":2024,"lang":"en","type":"article","venue":"","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Universitas Brawijaya","keywords":"Computer science; Parallel computing","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007316543,0.0006615228,0.0005757377,0.0007456089,0.0004905328,0.001689739,0.002069749,0.000639167,0.01000921],"category_scores_gemma":[0.003545646,0.0004755224,0.0007281632,0.001501204,0.0007842772,0.002184152,0.00114919,0.001493032,0.004259697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001159687,"about_ca_system_score_gemma":0.001241169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003686683,"about_ca_topic_score_gemma":0.004486091,"domain_scores_codex":[0.9988236,0.0001888257,0.00008966135,0.0001962626,0.0005605232,0.0001410502],"domain_scores_gemma":[0.9988888,0.0003375856,0.00005990511,0.0003624446,0.0003091267,0.00004213665],"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":[0.0008980063,0.0002382937,0.002828942,0.0007262913,0.0001420818,0.0006326871,0.0005703508,0.1488849,0.03637554,0.2286614,0.09038818,0.4896533],"study_design_scores_gemma":[0.0001519545,0.0001993227,0.0009098636,0.0001036523,0.00004661921,0.0002537763,0.0001515504,0.7524582,0.03713875,0.08363355,0.1248985,0.00005423951],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07084494,0.001254625,0.8636758,0.0008382511,0.0002761712,0.0002513052,0.001113765,0.0228628,0.03888229],"genre_scores_gemma":[0.3017081,0.0008502969,0.6655533,0.001025105,0.0001079047,0.0005616004,0.003136158,0.004213707,0.0228439],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01000921,"threshold_uncertainty_score":0.0334841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01355430905800326,"score_gpt":0.2550901091952594,"score_spread":0.2415358001372561,"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."}}