{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003399167,0.0002076448,0.0002142177,0.0002632496,0.0005152252,0.0002396397,0.001488136,0.00007260138,0.00001956693],"category_scores_gemma":[0.00001935355,0.0001719517,0.00008207322,0.0004451232,0.00002647063,0.0003212595,0.0001235213,0.0002776355,0.0001253704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006608829,"about_ca_system_score_gemma":0.00007072005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002835616,"about_ca_topic_score_gemma":0.000006081199,"domain_scores_codex":[0.9982031,0.0001398595,0.0003548158,0.0006114786,0.000384871,0.0003058587],"domain_scores_gemma":[0.9970183,0.0002057562,0.0000833636,0.002528648,0.00004761345,0.0001163088],"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":[0.000162085,0.001798464,0.00003429665,0.0006424569,0.0001731244,0.0001413491,0.001141529,0.7311589,0.030494,0.06144535,0.02155403,0.1512544],"study_design_scores_gemma":[0.001686516,0.00009962344,0.000150056,0.002411858,0.00003964049,0.00004698714,0.0005207708,0.9275442,0.008398479,0.0009625379,0.0574308,0.000708504],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001694051,0.0003177871,0.9941649,0.0003621166,0.001882065,0.0003397745,0.0001778627,0.0003343157,0.0007270937],"genre_scores_gemma":[0.8214864,0.00005934491,0.1761206,0.0003174818,0.00009013052,0.000179313,0.00009734052,0.00002227909,0.001627156],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8197923,"threshold_uncertainty_score":0.7011988,"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."}}