{"id":"W2047197169","doi":"10.1145/2151677.2151685","title":"Video streaming over cognitive radio networks","year":2012,"lang":"en","type":"article","venue":"","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Cognitive radio; Bandwidth (computing); Frame (networking); Video quality; Real-time computing; Channel (broadcasting); Quality of experience; Transmission (telecommunications); Computer network; Quality of service; Algorithm; Wireless; Telecommunications","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":[],"consensus_categories":[],"category_scores_codex":[0.0002888295,0.0001765749,0.000180124,0.00007611488,0.0001766471,0.0001717318,0.0002305607,0.00007034634,0.0001354119],"category_scores_gemma":[0.00003640283,0.0001561187,0.00008974703,0.0003929425,0.00004411956,0.0009287028,0.0001734091,0.000193859,0.00005415823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004975482,"about_ca_system_score_gemma":0.00001944544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003837812,"about_ca_topic_score_gemma":0.00001901251,"domain_scores_codex":[0.9985555,0.00007462329,0.0001805318,0.0003004419,0.0002024523,0.0006864941],"domain_scores_gemma":[0.9990467,0.000372065,0.00005873983,0.0002426693,0.00005781211,0.0002219881],"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":[0.00002278873,0.0002325297,0.05033875,0.000007056055,0.0001575094,0.00005786356,0.001518408,0.0003769369,0.0001636852,0.1463602,0.007031246,0.793733],"study_design_scores_gemma":[0.0011773,0.0001082219,0.209091,0.0001371613,0.00004988374,0.0001986622,0.0002052946,0.780167,0.001011404,0.0009373883,0.005996875,0.0009198622],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04873348,0.0009405331,0.9102373,0.0001210294,0.0006913128,0.0001226878,5.836353e-7,0.0002399674,0.03891309],"genre_scores_gemma":[0.9922103,0.00004749439,0.005559499,0.0008033115,0.0009077782,0.000003304925,0.000002970004,0.00001416946,0.0004511583],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9434769,"threshold_uncertainty_score":0.6366335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01292881708113044,"score_gpt":0.2409384272357389,"score_spread":0.2280096101546084,"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."}}