{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002688846,0.00007833003,0.00009181823,0.0001666792,0.00003862248,0.0008360425,0.0008784745,0.00002279277,0.000004457041],"category_scores_gemma":[0.00001260671,0.00006603955,0.00002049787,0.0004098661,0.000009569057,0.002394411,0.000312185,0.00006395913,0.00005727383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004957141,"about_ca_system_score_gemma":0.00002767773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001831291,"about_ca_topic_score_gemma":0.0001181816,"domain_scores_codex":[0.9991406,0.00001256215,0.0001671661,0.0002542506,0.0001989485,0.0002264947],"domain_scores_gemma":[0.999526,0.000006284044,0.00001645604,0.0003831325,0.00003046861,0.00003762057],"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":[4.695177e-7,0.00002696801,0.00006313883,0.00001117564,0.000004229677,0.00001525895,0.0001779546,0.2489681,0.000004735513,0.746077,0.0006136688,0.004037273],"study_design_scores_gemma":[0.0002588306,0.00001100244,0.00002626297,0.00002103199,8.173982e-7,0.000001620209,0.0002510182,0.9887816,0.00001316125,0.009167968,0.001356938,0.0001097213],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005174237,0.0001124157,0.9756911,0.001229238,0.0005500276,0.0001081037,6.644526e-7,0.0001970235,0.01693716],"genre_scores_gemma":[0.970127,0.00001781482,0.02814437,0.0002330668,0.00005482411,0.00001421003,0.000006362554,0.000004740306,0.001397644],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9649527,"threshold_uncertainty_score":0.8061977,"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."}}