{"id":"W2128263201","doi":"10.1109/icdcsw.2002.1030823","title":"Predicate matching and subscription matching in Publish/Subscribe systems","year":2003,"lang":"en","type":"article","venue":"","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Matching (statistics); Publication; Predicate (mathematical logic); Implementation; Theoretical computer science; Blossom algorithm; Scheme (mathematics); Programming language","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":[0.006084134,0.0004474123,0.001305343,0.001719185,0.001785069,0.006310993,0.002091865,0.002065088,0.006416309],"category_scores_gemma":[0.01633536,0.0008097794,0.0009799214,0.004322065,0.00165563,0.00861523,0.002489432,0.001713083,0.001520291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001371517,"about_ca_system_score_gemma":0.001853304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001740886,"about_ca_topic_score_gemma":0.0008059054,"domain_scores_codex":[0.994078,0.0016499,0.0006442352,0.0008969562,0.002172733,0.0005581147],"domain_scores_gemma":[0.9913048,0.00396557,0.0006136187,0.003170482,0.0006731761,0.0002723519],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007217535,0.0003372576,0.004542158,0.0006108321,0.0001287351,0.0005155351,0.0006467646,0.05849332,0.01288508,0.5283402,0.009834546,0.3829439],"study_design_scores_gemma":[0.0002046339,0.0003017227,0.001777415,0.00005016457,0.000140451,0.001406329,0.0003670253,0.4260486,0.04403699,0.4611727,0.06440179,0.00009218093],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02917027,0.0008633267,0.9584025,0.0006569572,0.0001771665,0.0002330883,0.0002452955,0.002131965,0.008119435],"genre_scores_gemma":[0.4738194,0.001442385,0.5120386,0.0003919713,0.0004301898,0.0002546092,0.0008361288,0.0004199687,0.01036671],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006416309,"threshold_uncertainty_score":0.03217632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01494513207553792,"score_gpt":0.2256672900339471,"score_spread":0.2107221579584092,"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."}}