{"id":"W4396788636","doi":"10.48550/arxiv.2405.01692","title":"Multi-Layer Network Formation through HAPS Base Station and Transmissive RIS-Equipped UAV","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Global Affairs Canada","keywords":"Layer (electronics); Base station; Base (topology); Computer science; Environmental science; Computer network; Materials science; Nanotechnology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002171546,0.0005471908,0.0003006857,0.000183538,0.0004793998,0.0005167873,0.0005528966,0.0002856478,0.0008196232],"category_scores_gemma":[0.0002619707,0.0001678637,0.0002798511,0.0001673657,0.000397437,0.0005303649,0.0009133157,0.000344775,0.0001549258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005770306,"about_ca_system_score_gemma":0.0003953431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003719432,"about_ca_topic_score_gemma":0.004799613,"domain_scores_codex":[0.9997602,0.000080652,0.000008119163,0.00005880269,0.00003839329,0.00005383722],"domain_scores_gemma":[0.9998506,0.00003039935,0.00003607885,0.00002199463,0.00003617497,0.00002463825],"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":[0.0005273308,0.0001094529,0.007065627,0.0001481236,0.0001535045,0.00173704,0.0004498874,0.8352567,0.08393378,0.01794174,0.002298016,0.05037883],"study_design_scores_gemma":[0.00001386642,0.0001467022,0.0007884196,0.000005953667,0.00002670886,0.0001101855,0.00007599725,0.9915336,0.005130233,0.001342613,0.0008158878,0.000009846953],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5284261,0.0005437547,0.4544814,0.0002945343,0.0001232653,0.00008628445,0.0001301474,0.0005593299,0.01535507],"genre_scores_gemma":[0.9837461,0.00009603225,0.0143972,0.00002808589,0.00001164238,0.00002129302,0.00003443988,0.000003632731,0.001661673],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003719432,"threshold_uncertainty_score":0.007395566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06032762242624768,"score_gpt":0.1861369478574788,"score_spread":0.1258093254312311,"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."}}