{"id":"W1507165467","doi":"10.1016/b978-155860869-6/50120-7","title":"A-Topss — A Publish/Subscribe System Supporting Approximate Matching","year":2002,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Peer-to-Peer Network Technologies","field":"Computer Science","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Matching (statistics); Publication; Mathematics; Business; Statistics; Advertising","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":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001120931,0.001042677,0.001260275,0.0007861324,0.0003603537,0.001321341,0.00498448,0.0008306323,0.00004192616],"category_scores_gemma":[0.00006772817,0.001027941,0.0004313507,0.000141969,0.0001372204,0.0005173439,0.003091936,0.001416568,0.0008068848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004900539,"about_ca_system_score_gemma":0.0001338506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002244801,"about_ca_topic_score_gemma":0.0000111393,"domain_scores_codex":[0.9942347,0.00005762561,0.001336254,0.001778024,0.001204895,0.001388483],"domain_scores_gemma":[0.9951526,0.0001212808,0.0009420115,0.003138842,0.0002752143,0.0003700704],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000020054,0.000006084051,0.0000023798,0.0002309758,0.00007775249,0.0003272309,0.0005092064,0.00001120788,0.0000112693,0.1747214,0.001949465,0.8221511],"study_design_scores_gemma":[0.0002557954,0.00008654071,0.000004553164,0.001811864,0.00007318777,0.0004132779,0.00005769214,0.003273885,0.00007849062,0.03275181,0.9596279,0.001565047],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00003057256,0.000730735,0.01470652,0.0007349866,0.001492134,0.001179396,0.00002661038,0.004399498,0.9766995],"genre_scores_gemma":[0.004842446,0.00001719054,0.0522434,0.0005961119,0.0004752667,0.000181295,0.00001539399,0.0001986765,0.9414302],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9576784,"threshold_uncertainty_score":0.9999711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01970162322246553,"score_gpt":0.2279082520886557,"score_spread":0.2082066288661902,"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."}}