{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008085064,0.000417232,0.0003233684,0.0004795726,0.00117411,0.001257099,0.0006486906,0.0008783638,0.007734997],"category_scores_gemma":[0.001740085,0.0002757212,0.0004140137,0.0003475189,0.0006619318,0.001430624,0.001533242,0.00121073,0.003206674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005563733,"about_ca_system_score_gemma":0.0004484417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004094618,"about_ca_topic_score_gemma":0.0005861617,"domain_scores_codex":[0.9992321,0.0002362842,0.00004710953,0.00009734408,0.0003079665,0.00007937063],"domain_scores_gemma":[0.9994073,0.0001614432,0.00004697923,0.0002029899,0.0001353092,0.0000460437],"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":[0.000374815,0.0001789054,0.001099513,0.0004451312,0.00005541107,0.001739233,0.002461822,0.009119103,0.08920337,0.5119227,0.02344954,0.3599505],"study_design_scores_gemma":[0.00005248044,0.0002512722,0.001511043,0.0002506927,0.0001082276,0.004563013,0.0005554923,0.1234255,0.07977194,0.1244005,0.6649404,0.0001694424],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02510061,0.00145308,0.803557,0.001232916,0.0007605286,0.0003689578,0.0001540779,0.004616807,0.1627561],"genre_scores_gemma":[0.5882961,0.002044359,0.3007657,0.001529701,0.001116292,0.0007374181,0.0005743714,0.0007546284,0.1041814],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007734997,"threshold_uncertainty_score":0.0258761,"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."}}