{"id":"W3171654786","doi":"10.1007/978-3-031-06947-5_17","title":"Optical Wireless Satellite Networks versus Optical Fiber Terrestrial Networks: The Latency Perspective","year":2022,"lang":"en","type":"book-chapter","venue":"Signals and communication technology","topic":"Satellite Communication Systems","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Satellite; Constellation; Computer science; Low earth orbit; Satellite constellation; Latency (audio); Optical wireless; Optical fiber; Telecommunications; Optical communication; Wireless; Remote sensing; Electronic engineering; Aerospace engineering; Geography; Engineering; Physics; Astronomy","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":[0.0005452468,0.0008236466,0.0004388248,0.0009246586,0.0005426042,0.003586876,0.001006096,0.001633684,0.02059545],"category_scores_gemma":[0.001455635,0.000285805,0.0002321534,0.002446174,0.001411121,0.009679134,0.0008700573,0.00258841,0.004722561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001807344,"about_ca_system_score_gemma":0.000909159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001889366,"about_ca_topic_score_gemma":0.002504149,"domain_scores_codex":[0.9997057,0.00006733972,0.00001003507,0.00004660022,0.0001202461,0.00005002779],"domain_scores_gemma":[0.9989096,0.0007884834,0.00008774464,0.00004014041,0.0001270447,0.00004702423],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003343142,0.00002723918,0.0001094099,0.0002482583,0.00000539191,0.00007983891,0.00009236803,0.002325643,0.001384349,0.9051294,0.01680129,0.07376342],"study_design_scores_gemma":[0.0000073965,0.00007798151,0.0002796129,0.0003797112,0.00001542307,0.0003400487,0.0004151888,0.005278822,0.001215439,0.4637378,0.5282365,0.00001607724],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.006824776,0.2877389,0.06411894,0.01981221,0.006964319,0.0000380403,0.0002257226,0.0001681757,0.614109],"genre_scores_gemma":[0.1443095,0.3123206,0.01328046,0.007156431,0.0143245,0.00007455063,0.0001517584,0.0003482257,0.5080341],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02059545,"threshold_uncertainty_score":0.06889868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02378101385177472,"score_gpt":0.2428220168056856,"score_spread":0.2190410029539109,"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."}}