{"id":"W4306940210","doi":"10.33012/2022.18391","title":"Visibility of LEO Satellites under Different Ground Network Distributions","year":2022,"lang":"en","type":"article","venue":"Proceedings of the Satellite Division's International Technical Meeting (Online)/Proceedings of the Satellite Division's International Technical Meeting (CD-ROM)","topic":"Satellite Communication Systems","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"National Time Service Center, Chinese Academy of Sciences; Chinese Academy of Sciences; National Natural Science Foundation of China","keywords":"Visibility; GNSS applications; Satellite; Computer science; Satellite system; Remote sensing; Sun-synchronous orbit; Altitude (triangle); Low earth orbit; Environmental science; Geography; Telecommunications; Meteorology; Global Positioning System; Aerospace engineering; Engineering; Geosynchronous orbit","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":[0.0005187977,0.0002101751,0.0002334032,0.0008694971,0.0002468254,0.0006450745,0.0002640455,0.0002467348,0.0005895565],"category_scores_gemma":[0.002591967,0.0001298624,0.0001502413,0.0006842881,0.0002906911,0.0007748037,0.0006111629,0.0001930075,0.00009014078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005197426,"about_ca_system_score_gemma":0.0001882551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003010531,"about_ca_topic_score_gemma":0.003021619,"domain_scores_codex":[0.9994938,0.00008026409,0.00002454048,0.0001139079,0.0001080756,0.0001793485],"domain_scores_gemma":[0.9984099,0.0006748452,0.0002324431,0.000155609,0.0004070946,0.0001201629],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003259063,0.0002091402,0.3894069,0.0002157122,0.000252095,0.0009627692,0.001076855,0.3695361,0.1379704,0.00307634,0.0006296113,0.09340487],"study_design_scores_gemma":[0.0001020224,0.001032754,0.397753,0.00004713381,0.0002194165,0.001130549,0.001411682,0.5088504,0.08570441,0.001970262,0.001700524,0.00007794179],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950085,0.00006410046,0.003448409,0.00001112532,0.000001862488,0.0000043478,0.00006195505,0.00002846688,0.001371227],"genre_scores_gemma":[0.9991555,0.00002670322,0.0005593367,0.000002741533,0.000001070476,0.000002066609,0.0001280577,0.000004314406,0.000120223],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003010531,"threshold_uncertainty_score":0.005986035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02234666192398417,"score_gpt":0.2688030377049387,"score_spread":0.2464563757809545,"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."}}