{"id":"W4244365690","doi":"10.1007/978-3-540-76778-7_19","title":"A Policy Management Framework for Content-Based Publish/Subscribe Middleware","year":2007,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Peer-to-Peer Network Technologies","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Publication; Middleware (distributed applications); Distributed computing; Business; Advertising","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow","scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.001527106,0.0009114959,0.0008205367,0.00373039,0.0003796415,0.001467486,0.009895663,0.0008265032,0.000007767299],"category_scores_gemma":[0.0006276783,0.0008724757,0.0002983518,0.002638436,0.000787444,0.0006646924,0.00324855,0.001171658,0.00005030994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009489697,"about_ca_system_score_gemma":0.0006412454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003462051,"about_ca_topic_score_gemma":0.0001221043,"domain_scores_codex":[0.9930924,0.00002416581,0.0008154394,0.00264213,0.001639747,0.001786085],"domain_scores_gemma":[0.9943134,0.001029876,0.0003960257,0.003271534,0.0006122423,0.0003769477],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001431529,0.00003238357,0.00002128469,0.00006888918,0.00002123175,0.00009285797,0.0001421904,0.006770579,0.000008969821,0.3771647,0.0002053483,0.6154573],"study_design_scores_gemma":[0.0006949359,0.0005014983,0.0001449421,0.001530206,0.00002203055,0.00003516163,0.000001442139,0.1213415,0.001673473,0.8537555,0.01863136,0.001668024],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00001741345,0.0003014237,0.9804094,0.01132299,0.002462785,0.001724254,0.00002327994,0.001048048,0.00269043],"genre_scores_gemma":[0.009178254,0.00001630852,0.976159,0.0130021,0.0007103038,0.0001099997,0.00001247666,0.00007030782,0.0007412182],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6137893,"threshold_uncertainty_score":0.9995691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05972872372164566,"score_gpt":0.2917374579219774,"score_spread":0.2320087342003317,"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."}}