{"id":"W4226331814","doi":"10.1109/tvt.2022.3170518","title":"User-Centric Cluster Design and Analysis for Hybrid Sub-6GHz-mmWave-THz Dense Networks","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Millimeter-Wave Propagation and Modeling","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Base station; Computer science; Terahertz radiation; Electronic engineering; Cluster analysis; Interference (communication); Stochastic geometry; Wireless; Bandwidth (computing); Wireless network; Computer network; Channel (broadcasting); Telecommunications; Engineering; Physics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002504819,0.000200756,0.0002825085,0.001070102,0.0003615417,0.00002619269,0.0001544123,0.0001374732,0.0000561606],"category_scores_gemma":[0.000004456512,0.0002264466,0.0001738079,0.001025493,0.00004468167,0.00005651962,0.000004733161,0.0004541647,0.000004957021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001180742,"about_ca_system_score_gemma":0.00001285697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003295954,"about_ca_topic_score_gemma":0.000008431438,"domain_scores_codex":[0.9988304,0.00006754756,0.0002839488,0.0003356568,0.0001359284,0.000346517],"domain_scores_gemma":[0.9994285,0.00008853642,0.0000405012,0.0003264278,0.00005106819,0.00006497377],"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":[0.00004238384,0.00004606253,0.00001356918,0.00001301304,0.0004134492,0.000009633873,0.00002164347,0.9791223,0.006699837,0.00001178266,0.00009782335,0.01350854],"study_design_scores_gemma":[0.0005708817,0.0001188583,0.000006629944,0.000003728177,0.0004412452,0.00005172537,0.00003645164,0.9035111,0.09401256,0.0001441924,0.000883233,0.0002194121],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1804925,0.0004112917,0.8176854,0.0001798697,0.0002269428,0.0004818288,0.00002580648,0.0004919427,0.000004460313],"genre_scores_gemma":[0.989951,0.0002365715,0.009042375,0.0001417653,0.0000144409,0.0004980562,0.00001602265,0.00005043745,0.00004935979],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8094585,"threshold_uncertainty_score":0.9234223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.012524828114444,"score_gpt":0.2053001023580611,"score_spread":0.1927752742436171,"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."}}