{"id":"W3162928544","doi":"10.1109/icjece.2021.3065640","title":"Power-Aware Coexistence of Wi-Fi and LTE in the Unlicensed Band Using Time-Domain Virtualization","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Electrical and Computer Engineering","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Spectrum management; Computer network; Virtualization; Wireless network; Wireless; Network virtualization; Heuristics; Cognitive radio; Telecommunications; Cloud computing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0001101461,0.00008576824,0.0001770468,0.0001644061,0.00002573027,0.00003358859,0.00006279537,0.00004363497,0.000003022598],"category_scores_gemma":[0.00002703518,0.00007773501,0.00002082343,0.0003675267,0.00001265904,0.0001107706,0.000004336502,0.0001340226,1.044135e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006413361,"about_ca_system_score_gemma":0.00006862217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000275021,"about_ca_topic_score_gemma":0.00005827215,"domain_scores_codex":[0.999443,0.00002567342,0.000247006,0.00006705763,0.00006494749,0.0001523015],"domain_scores_gemma":[0.9996353,0.0000799684,0.00004267229,0.00005778303,0.00006988896,0.0001144046],"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":[0.000002603316,0.000004391232,0.0004573028,0.00005163739,0.00002316608,0.0001566747,0.0008177201,0.9917858,0.005517738,0.0003827812,0.00004297637,0.0007571821],"study_design_scores_gemma":[0.0002828678,0.00005364839,0.001049609,0.0001575619,0.000008815568,0.0006570217,0.00004053774,0.9965779,0.0007504163,0.00003916638,0.00027347,0.000108941],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3313768,0.001815538,0.6666119,0.00002331367,0.00009097582,0.0000474185,0.000002409441,0.00000651851,0.00002518978],"genre_scores_gemma":[0.9946142,0.0000367291,0.005255583,0.00002444131,0.00005254052,4.167213e-7,0.000001425019,0.00001238236,0.000002267782],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6632375,"threshold_uncertainty_score":0.3169942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005360710265072752,"score_gpt":0.1782012193983947,"score_spread":0.172840509133322,"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."}}