{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science","research_integrity"],"consensus_categories":["metaepi_narrow","open_science"],"category_scores_codex":[0.004821057,0.001328435,0.001781509,0.0007723958,0.0009670337,0.0003691903,0.01137424,0.0006603132,0.0001841066],"category_scores_gemma":[0.006198631,0.00104257,0.00190217,0.002841699,0.001370322,0.0008418988,0.008516014,0.002938725,0.00001047713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001464934,"about_ca_system_score_gemma":0.00009613375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000866037,"about_ca_topic_score_gemma":0.00004101193,"domain_scores_codex":[0.9868357,0.0001694766,0.005138364,0.001663404,0.004896584,0.001296538],"domain_scores_gemma":[0.9883122,0.002271072,0.003694977,0.001317319,0.004038719,0.0003657027],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0005007623,0.002730237,0.1740305,0.0009662151,0.001170947,0.000002062196,0.0005000781,0.00505368,0.7375711,0.05790082,0.001702094,0.01787149],"study_design_scores_gemma":[0.001962958,0.0004109339,0.8522189,0.005680184,0.0003896219,0.0001262895,0.001899138,0.002177352,0.0467015,0.04423082,0.04221471,0.001987608],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9714006,0.00357365,0.00007662419,0.002831521,0.003909007,0.00193691,0.001226808,0.0009589641,0.01408593],"genre_scores_gemma":[0.9855585,0.003498004,0.009104488,0.0002010874,0.000582544,0.0002105545,0.0002472111,0.0002572477,0.000340341],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6908696,"threshold_uncertainty_score":0.9999467,"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."}}