{"id":"W4410830018","doi":"10.1145/3736756","title":"Efficient Parallel Boolean Expression Matching","year":2025,"lang":"en","type":"article","venue":"ACM Transactions on Database Systems","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Science and Technology Commission of Shanghai Municipality","keywords":"Computer science; Boolean expression; Expression (computer science); Matching (statistics); Regular expression; Theoretical computer science; Boolean function; Algorithm; Programming language; Mathematics","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":[0.0008107847,0.0008546436,0.001089018,0.001568643,0.0007826638,0.001553189,0.001823725,0.0006562033,0.005355327],"category_scores_gemma":[0.004309177,0.0003124761,0.001038006,0.003734235,0.0005519976,0.003865451,0.001958179,0.0007883497,0.001798014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001040266,"about_ca_system_score_gemma":0.001673849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002956373,"about_ca_topic_score_gemma":0.003557867,"domain_scores_codex":[0.9980222,0.0002004943,0.0002242284,0.0004302727,0.000861285,0.0002615867],"domain_scores_gemma":[0.9987102,0.0004213525,0.0001083591,0.000371687,0.0003411009,0.00004741739],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004497915,0.0003025185,0.002836668,0.0003580634,0.00007490815,0.0002971461,0.0002839493,0.03383618,0.05269723,0.03842133,0.02133904,0.8491033],"study_design_scores_gemma":[0.000136705,0.0002291005,0.00123843,0.00003033958,0.00009163177,0.0006357789,0.000250235,0.7879449,0.1001787,0.0777259,0.03148187,0.00005648344],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04689043,0.0006916011,0.9331259,0.000456828,0.0001043106,0.0003023249,0.001091501,0.008818247,0.008518941],"genre_scores_gemma":[0.3570755,0.0005356852,0.6255549,0.0005622661,0.0000849779,0.0003404102,0.005157297,0.0008580303,0.009830938],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005355327,"threshold_uncertainty_score":0.01791537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01736739543533445,"score_gpt":0.2672524681699296,"score_spread":0.2498850727345952,"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."}}