{"id":"W2355387560","doi":"","title":"Adaptive Rate Multimedia Transmission in GPRS Network","year":2009,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Algorithms and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"RTP Control Protocol; Computer science; General Packet Radio Service; Network packet; Packet loss; Real-time computing; Transmission (telecommunications); Rate of convergence; Computer network; Convergence (economics); Internet protocol suite; Algorithm; The Internet; Wireless; Telecommunications; Channel (broadcasting)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004762491,0.0003194167,0.0002614135,0.0006127911,0.0002819222,0.0004022743,0.0006292768,0.0004250594,0.0007859509],"category_scores_gemma":[0.001486756,0.0001726601,0.0002678232,0.0006641016,0.0002473121,0.000909926,0.0003391375,0.0004129406,0.0002462401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00044134,"about_ca_system_score_gemma":0.0002365148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00144137,"about_ca_topic_score_gemma":0.0005822876,"domain_scores_codex":[0.9995427,0.0001219866,0.00002201881,0.00007722466,0.0002003292,0.00003581772],"domain_scores_gemma":[0.9997262,0.00007482534,0.0000306966,0.00003998425,0.0001187989,0.000009333747],"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":[0.0006282565,0.000120346,0.00392074,0.0004182561,0.00008448849,0.0009573248,0.0004004784,0.2180515,0.171766,0.05300851,0.008455439,0.5421888],"study_design_scores_gemma":[0.00004789559,0.0002709216,0.001642891,0.00002982018,0.00005714372,0.001022205,0.00006603347,0.9421804,0.04043604,0.006591569,0.007601389,0.00005361627],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1141757,0.002012194,0.8698183,0.0004114033,0.000158628,0.0001322402,0.0001215395,0.001836552,0.01133339],"genre_scores_gemma":[0.8131402,0.001635812,0.1807146,0.0001440552,0.0001466288,0.0001123816,0.0001887582,0.00007373854,0.003843847],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00144137,"threshold_uncertainty_score":0.0032022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005334408838604456,"score_gpt":0.2114751624380149,"score_spread":0.2061407535994104,"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."}}