{"id":"W4401879382","doi":"10.1109/comst.2024.3450292","title":"Evolution of High-Throughput Satellite Systems: A Vision of Programmable Regenerative Payload","year":2024,"lang":"en","type":"article","venue":"IEEE Communications Surveys & Tutorials","topic":"Spacecraft Design and Technology","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Consortium de Recherche et d’innovation en Aérospatiale au Québec","keywords":"Payload (computing); Throughput; Satellite; Computer science; Astrobiology; Remote sensing; Geology; Engineering; Aerospace engineering; Telecommunications; Biology; Computer network","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":[0.0004197933,0.0003107826,0.0001522323,0.0003646836,0.0002754206,0.0009609002,0.0004069622,0.0005239709,0.001606081],"category_scores_gemma":[0.0003642621,0.000120285,0.0001638358,0.0004756339,0.0007781287,0.001747136,0.0006175829,0.001072837,0.0004597676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007331769,"about_ca_system_score_gemma":0.0004767542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005070434,"about_ca_topic_score_gemma":0.0004870384,"domain_scores_codex":[0.9997192,0.00005540156,0.000009877285,0.00003346736,0.000144609,0.00003740732],"domain_scores_gemma":[0.9997937,0.00004704812,0.00002727909,0.00003100026,0.00006529997,0.00003568683],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001091009,0.00004181828,0.001097401,0.0004519085,0.00002600618,0.0002183752,0.0004671397,0.01069247,0.04856559,0.6006503,0.0134125,0.3242674],"study_design_scores_gemma":[0.00002298356,0.0006496224,0.001492897,0.0002400625,0.0000400568,0.00148833,0.0003466707,0.04737478,0.0458295,0.1193568,0.7831046,0.00005370933],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08161028,0.1198909,0.5885888,0.01144101,0.002695385,0.0001320644,0.0002510069,0.001357378,0.1940332],"genre_scores_gemma":[0.691802,0.08029124,0.1788466,0.001810102,0.001854744,0.0001105074,0.0003500781,0.0001648645,0.04476994],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001606081,"threshold_uncertainty_score":0.005372882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02664665459879652,"score_gpt":0.2821599441533515,"score_spread":0.255513289554555,"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."}}