{"id":"W2037906071","doi":"10.1109/ficloud.2014.46","title":"Courteous Priority Access to the Shared Commercial Radio for Public Safety in LTE Heterogeneous Networks","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Computer network; Computer science; Blocking (statistics); Network packet; Heterogeneous network; Quality of service; Computer security; Telecommunications; Wireless; Wireless network","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":[0.001020612,0.0004966285,0.000423886,0.0004729489,0.0008122389,0.001629807,0.001182656,0.0005852283,0.001637617],"category_scores_gemma":[0.002384451,0.0001788473,0.0004184812,0.0006942069,0.0004893346,0.001773571,0.001230798,0.0009213335,0.0002134101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001141782,"about_ca_system_score_gemma":0.001291801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009506659,"about_ca_topic_score_gemma":0.008504943,"domain_scores_codex":[0.9987953,0.0003142733,0.00005534587,0.0002267214,0.0003377643,0.0002705908],"domain_scores_gemma":[0.9987273,0.0004478537,0.0002159127,0.0001837855,0.0002997981,0.0001253306],"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":[0.0005779994,0.0002450276,0.004142014,0.0002902336,0.0001429243,0.0007540592,0.0004415326,0.4585947,0.03881926,0.1908768,0.006866944,0.2982486],"study_design_scores_gemma":[0.00003175037,0.0001309123,0.000447236,0.00001318131,0.00002617644,0.0001987127,0.00007109348,0.9776745,0.003932872,0.01154062,0.005905067,0.00002777407],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06356632,0.0007170308,0.9268753,0.0002737844,0.0001203319,0.00008408356,0.00008359225,0.0002958345,0.007983643],"genre_scores_gemma":[0.9479384,0.0003557344,0.04910686,0.0001346275,0.00007245188,0.00007207222,0.00008279545,0.00002951042,0.002207585],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009506659,"threshold_uncertainty_score":0.01890266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02126218660139639,"score_gpt":0.2554245951728406,"score_spread":0.2341624085714442,"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."}}