{"id":"W4385451102","doi":"10.36227/techrxiv.23811714.v1","title":"Aerial Base Stations for Global Connectivity: Is it a Feasible and Reliable Solution?","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Satellite Communication Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Base station; Computer science; Bridging (networking); Cellular network; Reliability (semiconductor); Population; Point (geometry); Telecommunications; Computer network; Power (physics); Mathematics","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":[0.0003404215,0.0002091302,0.000295253,0.00008048349,0.0001097806,0.0001635165,0.0002359742,0.0002317889,0.0000750366],"category_scores_gemma":[0.0001091101,0.0002402573,0.00008317297,0.0001677052,0.00002955505,0.00008737434,0.0003421304,0.0001708887,0.0001013036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002484407,"about_ca_system_score_gemma":0.0001012391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006604108,"about_ca_topic_score_gemma":0.0006982412,"domain_scores_codex":[0.9989336,0.00003602203,0.0003424507,0.0003124302,0.0001363609,0.0002391052],"domain_scores_gemma":[0.9986566,0.0002500437,0.00006169345,0.0007956597,0.0001470516,0.00008889806],"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":[0.0001205766,0.0001673905,0.007966853,0.005428463,0.001311032,0.000005561732,0.004083294,0.07578641,0.001208028,0.03457384,0.8643317,0.005016813],"study_design_scores_gemma":[0.002096059,0.00005853705,0.002779953,0.0005588452,0.0001691152,0.00001607509,0.001345276,0.6391172,0.001025668,0.03449918,0.3170042,0.001329818],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05146126,0.008149596,0.8136032,0.01402705,0.01320697,0.009570269,0.007474888,0.007748173,0.07475863],"genre_scores_gemma":[0.9339924,0.003177639,0.0487792,0.0003427921,0.0005933236,0.00248813,0.0009028648,0.0002021306,0.009521541],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8825311,"threshold_uncertainty_score":0.979741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1266477435541006,"score_gpt":0.3380987223017765,"score_spread":0.2114509787476758,"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."}}