{"id":"W4392172866","doi":"10.1109/lcomm.2024.3370698","title":"Enhancing Next-Generation Urban Connectivity: Is the Integrated HAPS-Terrestrial Network a Solution?","year":2024,"lang":"en","type":"article","venue":"IEEE Communications Letters","topic":"Power Line Communications and Noise","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Computer network; Telecommunications; Distributed computing","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":[0.0003658803,0.0002724041,0.0002510132,0.0001380644,0.0002695884,0.0006217589,0.0005429271,0.0005420612,0.001329605],"category_scores_gemma":[0.0007099329,0.0001143224,0.0001449515,0.0003141509,0.0003516437,0.001009054,0.0007527837,0.0005185842,0.0002056738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003682355,"about_ca_system_score_gemma":0.000720975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002246498,"about_ca_topic_score_gemma":0.005669051,"domain_scores_codex":[0.9998884,0.00003673983,0.000001978174,0.00001612432,0.00002167803,0.00003497311],"domain_scores_gemma":[0.9998559,0.00005037842,0.00001444436,0.0000173642,0.00003590056,0.00002609469],"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":[0.0002044566,0.00009715503,0.002876462,0.0001639246,0.00007486281,0.0002844713,0.0002128442,0.469357,0.009268572,0.09650128,0.01133228,0.4096268],"study_design_scores_gemma":[0.00002767037,0.0001332053,0.0007326665,0.00003960775,0.00003546094,0.0002375561,0.000303507,0.9407806,0.003145389,0.03259016,0.02195735,0.00001680013],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05764066,0.00316585,0.9209342,0.00388684,0.0002212014,0.00004993964,0.00006558291,0.0002639002,0.01377189],"genre_scores_gemma":[0.8697098,0.001738991,0.122577,0.000467271,0.000138501,0.00004205733,0.00009310427,0.00003296446,0.005200192],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002246498,"threshold_uncertainty_score":0.004466832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0560461234708555,"score_gpt":0.2690071520317933,"score_spread":0.2129610285609378,"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."}}