{"id":"W4401509278","doi":"10.1109/iccworkshops59551.2024.10615868","title":"A Novel Non- Terrestrial Networks Architecture: All Optical LEO Constellations with High-Altitude Ground Stations","year":2024,"lang":"en","type":"article","venue":"","topic":"Optical Wireless Communication Technologies","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"National Research Council Canada; Agence Nationale de la Recherche","keywords":"Constellation; Architecture; Computer science; Effects of high altitude on humans; Altitude (triangle); Remote sensing; Telecommunications; Meteorology; Geology; Physics; Geography; Astronomy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001883731,0.0002102651,0.0001124941,0.0001966683,0.0003998341,0.0007071152,0.0006436298,0.0002829015,0.001528726],"category_scores_gemma":[0.0002722857,0.00008994045,0.0001444878,0.0002899197,0.0003801539,0.001031908,0.0004908008,0.0003034735,0.0001873398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000672498,"about_ca_system_score_gemma":0.0004504854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002787302,"about_ca_topic_score_gemma":0.006287926,"domain_scores_codex":[0.9998708,0.00004202579,0.000003097819,0.00002426316,0.00002788152,0.00003191505],"domain_scores_gemma":[0.9998553,0.00003070724,0.00002413459,0.00003045456,0.00003850317,0.00002099643],"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":[0.000391796,0.0002497524,0.007495417,0.0002036911,0.0001038929,0.0009142715,0.0003969141,0.7095177,0.05642458,0.1279878,0.004726875,0.0915874],"study_design_scores_gemma":[0.00003772319,0.000485883,0.00241001,0.00002286529,0.00003971647,0.0004325602,0.00024642,0.9597232,0.00843717,0.01459228,0.01355225,0.00001993893],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6482503,0.0006509805,0.3020235,0.0006457269,0.0001139736,0.0001536972,0.0002198606,0.000509179,0.04743272],"genre_scores_gemma":[0.9764905,0.0001883637,0.01991474,0.00004958329,0.00001445511,0.00002476538,0.0000603711,0.000005985625,0.003251242],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002787302,"threshold_uncertainty_score":0.005542159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01540917815222998,"score_gpt":0.2387443976133979,"score_spread":0.223335219461168,"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."}}