{"id":"W1906366315","doi":"10.1109/ccece.2001.933578","title":"Description and validation of the media gateway control protocol (MGCP) using SDL/MSC","year":2002,"lang":"en","type":"article","venue":"","topic":"Mobile Agent-Based Network Management","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Voice over IP; Protocol (science); Gateway (web page); H.248; Computer network; Border Gateway Protocol; Default gateway; Control (management); The Internet; Distributed computing; Routing protocol; Operating system; World Wide Web; Artificial intelligence; Routing (electronic design automation)","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":[0.0002920653,0.00008659732,0.00009558925,0.000049954,0.00007998751,0.00009187109,0.0003389427,0.00002776539,0.0001132905],"category_scores_gemma":[0.00002108651,0.00005837207,0.0000334183,0.0002537167,0.00004099054,0.0003326143,0.0001469505,0.00004815424,0.000008274876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004708054,"about_ca_system_score_gemma":0.000009788985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003158374,"about_ca_topic_score_gemma":0.000008884234,"domain_scores_codex":[0.9990267,0.0001262343,0.0002175838,0.0002131135,0.0002678514,0.0001485466],"domain_scores_gemma":[0.9993196,0.0000494467,0.0001333335,0.000411353,0.00004874186,0.00003756538],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000132856,0.001670666,0.04406046,0.0008789863,0.0003577231,0.00003550544,0.006838433,0.1388338,0.1110121,0.207568,0.04338336,0.445228],"study_design_scores_gemma":[0.001082601,0.00005392136,0.001754734,0.00003774426,0.00001527925,0.000003243527,0.00001568433,0.9786605,0.01513885,0.0007991272,0.002324685,0.0001136242],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04191618,0.00001446878,0.9152852,0.0005413663,0.0002463249,0.03973824,8.413321e-7,0.00009250885,0.002164882],"genre_scores_gemma":[0.9847367,0.000001390115,0.0089451,0.0002732934,0.00004622282,0.005806087,2.896678e-7,0.00000586231,0.0001850839],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9428205,"threshold_uncertainty_score":0.2380344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04085680286618366,"score_gpt":0.2333186667728228,"score_spread":0.1924618639066391,"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."}}