{"id":"W1967919590","doi":"10.1109/icsssm.2005.1500221","title":"Personalization for SIP multimedia communications with presence","year":2005,"lang":"en","type":"article","venue":"","topic":"IPv6, Mobility, Handover, Networks, Security","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Outaouais; University of Ottawa","funders":"","keywords":"Session Initiation Protocol; Computer science; Personalization; SIP trunking; Multimedia; Session (web analytics); IP Multimedia Subsystem; Service (business); User agent; Architecture; World Wide Web; Computer network; Application layer; Protocol (science); Voice over IP; The Internet; Server; Quality of service; Software engineering","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":[0.0001168749,0.00009745298,0.00009294385,0.00002467081,0.00007519026,0.00002606868,0.0002389548,0.00005497277,0.00009425325],"category_scores_gemma":[0.00002444467,0.00008816711,0.00002813013,0.0001112136,0.00005996777,0.0002002842,0.00003477711,0.00009094286,0.0000213599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006094774,"about_ca_system_score_gemma":0.00001191047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000171226,"about_ca_topic_score_gemma":0.001015798,"domain_scores_codex":[0.999456,0.00001694182,0.0001305551,0.0001160422,0.0001013591,0.0001790815],"domain_scores_gemma":[0.9991812,0.0001891287,0.00001756531,0.000486845,0.00007384218,0.00005144414],"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":[0.0003398467,0.001369518,0.02313993,0.00130613,0.0005795794,0.000002311498,0.02927789,0.5630195,0.004545969,0.03216734,0.1025977,0.2416543],"study_design_scores_gemma":[0.0004344938,0.00001956558,0.0006381578,0.00001437763,0.00001609429,0.000001494388,0.00008651799,0.9618622,0.000544631,0.00008131265,0.0361737,0.0001274589],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03659739,0.002080995,0.9346831,0.001144663,0.0003038413,0.001771554,0.00004682974,0.001234722,0.02213694],"genre_scores_gemma":[0.9343321,0.00007811774,0.06466074,0.0000756535,0.0001424245,0.0001396733,0.00005654652,0.00002451102,0.0004902439],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8977347,"threshold_uncertainty_score":0.359535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01541667198412232,"score_gpt":0.2393773281028121,"score_spread":0.2239606561186898,"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."}}