{"id":"W4410738036","doi":"10.1109/twc.2025.3571341","title":"Coverage Diversity in Mega Satellite Constellations: A Stochastic Geometry Approach","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Satellite Communication Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Constellation; Stochastic geometry; Computer science; Satellite; Diversity (politics); Telecommunications; Geodesy; Geometry; Remote sensing; Mathematics; Geography; Statistics; Aerospace engineering; Physics; Engineering; Political science","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":[0.001464278,0.0009212142,0.0008802699,0.001249557,0.0005572955,0.001423478,0.0015121,0.001137517,0.002503805],"category_scores_gemma":[0.004167408,0.0007957367,0.0009963879,0.0008837912,0.00187477,0.00181411,0.001291254,0.001119872,0.000463614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00286454,"about_ca_system_score_gemma":0.000824945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007658304,"about_ca_topic_score_gemma":0.004479766,"domain_scores_codex":[0.9992751,0.0002807768,0.00001904823,0.0001008498,0.0001781431,0.000146139],"domain_scores_gemma":[0.9972149,0.001730751,0.0004772505,0.0001324974,0.0002886794,0.0001559067],"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":[0.00001423839,0.000007971623,0.0004345769,0.00001317019,0.00001111943,0.00008405276,0.0000362758,0.9391478,0.0006762685,0.05774849,0.0004915334,0.001334598],"study_design_scores_gemma":[0.00000252844,0.000009325777,0.0001377801,0.000004018329,0.000003376844,0.0000321583,0.00001348707,0.9894164,0.0001237711,0.009874387,0.0003765948,0.000006108381],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04665084,0.000599705,0.940249,0.0007908244,0.00006317542,0.00006073216,0.0002381128,0.0001854986,0.01116217],"genre_scores_gemma":[0.9534175,0.001313202,0.03806943,0.0002225478,0.0001062106,0.0001219584,0.000236387,0.0001408635,0.006371966],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007658304,"threshold_uncertainty_score":0.02078378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03899402651770246,"score_gpt":0.2617324513915678,"score_spread":0.2227384248738654,"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."}}