{"id":"W2126930953","doi":"10.1109/jproc.2003.821907","title":"High-Speed Satellite Mobile Communications: Technologies and Challenges","year":2004,"lang":"en","type":"article","venue":"Proceedings of the IEEE","topic":"Satellite Communication Systems","field":"Engineering","cited_by":157,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Computer network; Quality of service; Communications satellite; Telecommunications; Satellite; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.000185671,0.0001138784,0.0001640432,0.00007416977,0.00007112233,0.00002842429,0.001110854,0.00009103432,5.958335e-7],"category_scores_gemma":[0.00003803784,0.00008971107,0.00003339058,0.0002020503,0.0002135195,0.0001539854,0.000230269,0.0001664542,0.000008507491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004979388,"about_ca_system_score_gemma":0.000005115086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001249885,"about_ca_topic_score_gemma":0.000005546689,"domain_scores_codex":[0.9994142,0.000003796176,0.0002361644,0.000102974,0.0001177929,0.0001250396],"domain_scores_gemma":[0.9991753,0.00004955196,0.00008523292,0.0005661206,0.0001063168,0.000017537],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002345174,0.0001948648,0.002728014,0.003181926,0.0002604416,2.77187e-7,0.01437187,0.001250126,0.5259316,0.1304293,0.0002213877,0.3214068],"study_design_scores_gemma":[0.001011649,0.00009087986,0.004259599,0.0009589624,0.00005351292,0.00004895302,0.01677087,0.0003538225,0.8598908,0.0297596,0.08621538,0.0005860282],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7508123,0.2372372,0.0000060715,0.002946971,0.0002285474,0.0006283544,0.000005263226,0.001162466,0.006972896],"genre_scores_gemma":[0.8593951,0.1383048,0.00219522,0.000006758771,0.000011957,0.00004790412,3.32998e-7,0.00002014975,0.0000178097],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3339592,"threshold_uncertainty_score":0.3658311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03971215390187111,"score_gpt":0.2361319214105059,"score_spread":0.1964197675086348,"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."}}