{"id":"W2134173444","doi":"10.1109/vetec.1996.501466","title":"Statistical models for land mobile and fixed satellite communications at Ka band","year":2002,"lang":"en","type":"article","venue":"","topic":"Satellite Communication Systems","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Communications Research Centre Canada","funders":"University of Waterloo","keywords":"Ka band; Communications satellite; Satellite; Computer science; Telecommunications; Mobile telephony; Statistical model; Ku band; SIGNAL (programming language); Remote sensing; Envelope (radar); Statistical analysis; Mobile radio; Geography; Statistics; Mathematics; Engineering; Aerospace engineering; Artificial intelligence","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":[0.002532347,0.001076858,0.0009941856,0.001495706,0.0006029854,0.001890491,0.00206956,0.001528234,0.003475042],"category_scores_gemma":[0.008632327,0.0006778442,0.000934304,0.001963063,0.001230221,0.002496911,0.0008342385,0.002041954,0.002313896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001211786,"about_ca_system_score_gemma":0.001109106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008233629,"about_ca_topic_score_gemma":0.004900827,"domain_scores_codex":[0.9979944,0.0005890946,0.00008986493,0.0003169448,0.0007315543,0.0002781891],"domain_scores_gemma":[0.9938328,0.003781326,0.0008310461,0.0005718623,0.0008710056,0.0001118059],"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":[0.00009520997,0.00007154718,0.003839817,0.0001125835,0.0001005793,0.0002484224,0.0001950951,0.6691344,0.002071474,0.2930431,0.004711926,0.0263759],"study_design_scores_gemma":[0.0000154468,0.00005469482,0.001443057,0.00002366016,0.00003230812,0.0001846035,0.00004599782,0.8965645,0.0005671391,0.09555031,0.005467464,0.00005081861],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02744523,0.002068736,0.9606276,0.0009359694,0.0001481212,0.0001074036,0.001729227,0.0006715569,0.006266243],"genre_scores_gemma":[0.826373,0.01013993,0.1208773,0.000855114,0.001209926,0.001032771,0.007180408,0.0003989047,0.03193265],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008233629,"threshold_uncertainty_score":0.01637143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07013830430967237,"score_gpt":0.2671586444539332,"score_spread":0.1970203401442608,"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."}}