{"id":"W118265584","doi":"10.5220/0002147401730180","title":"MATCHING FOR MOBILE USERS IN THE PUBLISH/SUBSCRIBE PARADIGM","year":2007,"lang":"en","type":"article","venue":"","topic":"Smart Cities and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Publication; Matching (statistics); Mobile computing; Computer network; World Wide Web; Business","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":[0.000266101,0.00006457532,0.00006507403,0.00006914052,0.00003064814,0.00005988726,0.0001911863,0.00005602676,0.00002185343],"category_scores_gemma":[0.00001044135,0.00004396085,0.00003102575,0.00013337,0.00001609211,0.0001372654,0.00001352844,0.00009381144,0.000005014066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002281109,"about_ca_system_score_gemma":0.000002251486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006848863,"about_ca_topic_score_gemma":0.0004232539,"domain_scores_codex":[0.9995375,0.000002035314,0.0001085807,0.00006469896,0.00005747881,0.0002296721],"domain_scores_gemma":[0.9996838,0.0001406021,0.000006324723,0.000153501,0.000004667156,0.00001108716],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002764777,0.00008209053,0.009902555,0.0002073749,0.00008436067,0.00003426859,0.009096938,0.02700812,0.001011958,0.741984,0.116719,0.09384169],"study_design_scores_gemma":[0.001181038,0.0001502757,0.01716889,0.00003907777,0.00001713663,0.00002841907,0.07786368,0.008138448,0.01046508,0.1194815,0.7647314,0.0007350993],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9443542,0.0002230724,0.03242455,0.000339934,0.0003108508,0.0003381966,0.000003093557,0.0006983303,0.02130781],"genre_scores_gemma":[0.9980246,0.00002006752,0.001609045,0.0001359837,0.0000415508,0.00007715793,0.000003060992,0.0000117796,0.00007671889],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6480123,"threshold_uncertainty_score":0.1792672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01504446961112219,"score_gpt":0.2284764959824276,"score_spread":0.2134320263713055,"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."}}