{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005194234,0.000205338,0.0001644408,0.0001220397,0.0006270253,0.0004134813,0.001247186,0.00008226728,0.00003954515],"category_scores_gemma":[0.00004492935,0.0001757304,0.0001260868,0.0007369983,0.0001421298,0.0004161595,0.0001616938,0.0006672031,0.0001399258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001754459,"about_ca_system_score_gemma":0.00006022905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001315691,"about_ca_topic_score_gemma":0.0006479392,"domain_scores_codex":[0.9987162,0.0002736609,0.0003907975,0.0001930317,0.0001336961,0.0002925924],"domain_scores_gemma":[0.9967527,0.0005571227,0.00004115651,0.002553418,0.00003904345,0.00005659387],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006594917,0.0000509561,0.00007602374,0.00002406916,0.0002765757,0.000002273915,0.002149355,0.009576811,0.3420497,0.002072895,0.6350679,0.008646813],"study_design_scores_gemma":[0.0001416348,0.00001049597,0.0000780113,0.0001221372,0.00006596967,0.000008886972,0.00006470537,0.5918882,0.003528017,0.00008426174,0.4037665,0.00024119],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4703504,0.04344767,0.3270434,0.139605,0.009605687,0.001884691,0.0001621625,0.004005461,0.003895538],"genre_scores_gemma":[0.9922577,0.00126087,0.00385567,0.001418008,0.0006938763,0.000213474,0.0001744765,0.00005236609,0.00007355746],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5823114,"threshold_uncertainty_score":0.7166076,"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."}}