{"id":"W2048809268","doi":"10.1145/2815347.2815359","title":"Spectrum Access Quality for Mobile Broadband Video Communications in Smart Cities","year":2015,"lang":"en","type":"article","venue":"","topic":"Image and Video Quality Assessment","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"Computer science; Video quality; Computer network; Wireless broadband; Wireless network; Mobile broadband; Broadband; Access network; Broadband networks; Telecommunications; IMT Advanced; Wireless; Multimedia; Mobile computing; Mobile technology; Mobile Web; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008930231,0.0001501528,0.0001852775,0.0005679138,0.0002861562,0.0007361521,0.000261514,0.0002764582,0.002408594],"category_scores_gemma":[0.003718125,0.0001244443,0.0001507832,0.0006456179,0.000274788,0.000824653,0.0004051976,0.0002073134,0.0002124692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007404209,"about_ca_system_score_gemma":0.0002786875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004266613,"about_ca_topic_score_gemma":0.004276661,"domain_scores_codex":[0.9993379,0.0002133464,0.0000214279,0.0000569545,0.0003095279,0.00006092224],"domain_scores_gemma":[0.9985436,0.0006621433,0.000181371,0.0001219393,0.0004291699,0.00006181281],"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":[0.001700513,0.0004359391,0.1600867,0.000609035,0.0001508776,0.0014267,0.001743462,0.2032183,0.2755973,0.02323445,0.004248258,0.3275485],"study_design_scores_gemma":[0.00009382058,0.001571966,0.3353592,0.0001844204,0.0001988254,0.00139799,0.002767504,0.5350602,0.09457649,0.01607629,0.01259475,0.0001184814],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8914989,0.001845878,0.09086877,0.0004298395,0.00004205595,0.000121562,0.0002171129,0.0001996005,0.01477631],"genre_scores_gemma":[0.9953769,0.0001754143,0.003970327,0.00002293424,0.000008509098,0.00001284575,0.00004268334,0.00001012806,0.0003802381],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004266613,"threshold_uncertainty_score":0.008483589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2070019762577962,"score_gpt":0.4480676914445751,"score_spread":0.2410657151867789,"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."}}