{"id":"W2092754815","doi":"10.1023/b:mtap.0000011931.70169.7e","title":"A Modular Approach to Mobile QoS Signaling— Motivation, Design &amp; Implementation","year":2004,"lang":"en","type":"article","venue":"Multimedia Tools and Applications","topic":"IPv6, Mobility, Handover, Networks, Security","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Siemens","keywords":"Computer science; Computer network; Quality of service; Mobile QoS; Distributed computing; Unicast; Mobility management; Mobile IP; Service (business); Mobile computing; Multicast; Service provider","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":[0.0002222991,0.0001966906,0.0001795188,0.00007480437,0.0001616114,0.00009741449,0.0001490201,0.00009259616,0.00003480414],"category_scores_gemma":[0.00001893556,0.0002124723,0.00004225833,0.000351195,0.00003927365,0.0001976471,0.00003788595,0.0001381794,0.0000628074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001198373,"about_ca_system_score_gemma":0.00002425617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004287216,"about_ca_topic_score_gemma":0.00001839568,"domain_scores_codex":[0.9988474,0.00002501302,0.000317134,0.0003450817,0.0001729216,0.0002924587],"domain_scores_gemma":[0.9992598,0.0001098599,0.00004069206,0.0003442983,0.00008063987,0.0001646584],"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":[0.00001117287,0.0002443399,0.0003181018,0.00008267784,0.00005346613,2.339235e-7,0.002292038,0.8982845,0.02594546,0.001294724,0.0006590962,0.07081421],"study_design_scores_gemma":[0.01415781,0.0005480212,0.04202009,0.0001686167,0.0006025684,0.0000443799,0.00404574,0.4447199,0.1091263,0.02969699,0.3496689,0.00520063],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0852749,0.0002341207,0.9103546,0.0000395333,0.00007707466,0.003391321,0.00009517584,0.0002961756,0.0002370807],"genre_scores_gemma":[0.8669331,0.00004969801,0.1227232,0.00008711775,0.0003939753,0.009331992,0.000414394,0.00004393937,0.00002255278],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7876314,"threshold_uncertainty_score":0.8664368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03360187430908128,"score_gpt":0.263393868689477,"score_spread":0.2297919943803957,"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."}}