{"id":"W4205676769","doi":"10.1109/tcomm.2021.3137834","title":"Mobility-Aware Performance in Hybrid RF and Terahertz Wireless Networks","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Wireless; Terahertz radiation; Computer science; Electronic engineering; Radio frequency; Computer network; Electrical engineering; Telecommunications; Engineering; Materials science; Optoelectronics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001418895,0.0009721928,0.0008856138,0.0008395175,0.0005054146,0.001213657,0.001078104,0.0008383612,0.0006926163],"category_scores_gemma":[0.004401088,0.000428915,0.0006115003,0.0006687167,0.001388593,0.002006207,0.00139565,0.0004928199,0.0001841721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001813388,"about_ca_system_score_gemma":0.0006050077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003807289,"about_ca_topic_score_gemma":0.001844711,"domain_scores_codex":[0.9990644,0.0002832903,0.0000308442,0.0001603427,0.00022101,0.0002401295],"domain_scores_gemma":[0.9979127,0.001301592,0.0003614043,0.0001470104,0.0002082939,0.00006896726],"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":[0.00005067862,0.00002051151,0.001406047,0.00003424264,0.00002960278,0.0001596322,0.0000735078,0.9667304,0.004621181,0.02287553,0.0001671954,0.00383143],"study_design_scores_gemma":[0.000002296907,0.00002302021,0.0003972764,0.000003170637,0.000007522255,0.00005839989,0.00002083226,0.9953636,0.0006815427,0.003341559,0.00009305356,0.000007785664],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2950746,0.0008915343,0.6978979,0.0003467869,0.00003447472,0.00005317105,0.000188332,0.000389658,0.005123453],"genre_scores_gemma":[0.9930561,0.0002717857,0.00606381,0.00003019965,0.00001234297,0.00002120922,0.00003410825,0.00001736052,0.0004930898],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003807289,"threshold_uncertainty_score":0.01315707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01412117244185349,"score_gpt":0.2315252569958837,"score_spread":0.2174040845540302,"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."}}