{"id":"W2152170845","doi":"10.1109/icde.2004.1320023","title":"Modeling uncertainties in publish/subscribe systems","year":2004,"lang":"en","type":"article","venue":"","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Publication; Dissemination; Computer science; Set (abstract data type); Matching (statistics); Information Dissemination; World Wide Web; Process (computing); Data science; Information retrieval; Telecommunications","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":[0.002724239,0.001123828,0.001506037,0.001194489,0.001023656,0.003094019,0.0017721,0.002536525,0.002207433],"category_scores_gemma":[0.007819576,0.0007574074,0.001021978,0.001845025,0.001673753,0.002990165,0.001957538,0.001822206,0.0002485084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002084135,"about_ca_system_score_gemma":0.001273455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009141752,"about_ca_topic_score_gemma":0.003577227,"domain_scores_codex":[0.9979996,0.0006546404,0.0001516609,0.000332375,0.0006151496,0.0002464181],"domain_scores_gemma":[0.9953069,0.003429811,0.000576856,0.0001842426,0.0003378073,0.0001643107],"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":[0.00002802474,0.00001307343,0.000262417,0.00003713273,0.00002068455,0.00008030765,0.00005570154,0.9602591,0.0002165186,0.03519558,0.0001792608,0.003652234],"study_design_scores_gemma":[0.000006977821,0.00001002703,0.0000615208,0.000003831159,0.000007591708,0.00001256956,0.00001804559,0.9704267,0.0001172755,0.02889581,0.0004327476,0.000006934964],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03560667,0.001090696,0.9570792,0.0006062867,0.0001005629,0.00009523191,0.0002155561,0.00021047,0.00499529],"genre_scores_gemma":[0.9406163,0.001307986,0.05386068,0.00008391518,0.0001628407,0.000220699,0.0002283489,0.00003888543,0.003480434],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009141752,"threshold_uncertainty_score":0.01817709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0271760915800849,"score_gpt":0.2291114183612909,"score_spread":0.201935326781206,"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."}}