{"id":"W1528962822","doi":"10.1007/3-540-45075-0_21","title":"Modeling IETF Session Initiation Protocol and Its Services in SDL","year":2003,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"IPv6, Mobility, Handover, Networks, Security","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Session (web analytics); Session Initiation Protocol; Protocol (science); Computer network; World Wide Web; Server","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"],"consensus_categories":[],"category_scores_codex":[0.0005781638,0.0003797758,0.0003520089,0.0003716465,0.00008907678,0.0001925685,0.0004187882,0.0003847876,0.00001350826],"category_scores_gemma":[0.00001744457,0.0003721905,0.0000368573,0.0002881646,0.00007616337,0.0004693507,0.0002208134,0.0007650241,0.000004599976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000258035,"about_ca_system_score_gemma":0.00006359731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001417112,"about_ca_topic_score_gemma":0.0002845977,"domain_scores_codex":[0.9980294,0.00002944958,0.0004207697,0.000682123,0.0004264508,0.0004117979],"domain_scores_gemma":[0.9993032,0.00009705307,0.00007070019,0.0003495753,0.00009890978,0.00008057716],"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":[0.000008457297,0.0000114554,0.00008959512,0.0004672675,0.000002789173,0.0000144801,0.0006378847,0.9692242,0.00008284699,0.0002055895,0.000001039378,0.02925446],"study_design_scores_gemma":[0.0003688354,0.00003214593,0.00004271496,0.0008391709,0.000004010694,0.00001322688,2.844395e-7,0.9794569,0.0004258512,0.01828509,0.0001700929,0.0003617025],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006816731,0.0006255534,0.971348,0.00004658607,0.001074969,0.01844125,0.000005392161,0.0001952727,0.001446203],"genre_scores_gemma":[0.980065,0.00005216951,0.01619765,0.0005372498,0.000464539,0.002575463,0.00001025924,0.00007953337,0.00001816417],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9732482,"threshold_uncertainty_score":0.999873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01479482083703655,"score_gpt":0.2457724416357481,"score_spread":0.2309776207987115,"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."}}