{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001176008,0.0001068982,0.0001531587,0.00004228963,0.0001120353,0.00004453369,0.0002583371,0.00006201773,0.0001686479],"category_scores_gemma":[0.000013317,0.0001028134,0.00002315051,0.00006827644,0.00006766857,0.0001049882,0.00007980752,0.00007102453,0.00008050282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004563172,"about_ca_system_score_gemma":0.000001827774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001416715,"about_ca_topic_score_gemma":0.00008452783,"domain_scores_codex":[0.9993721,0.0000388399,0.000242398,0.0001132907,0.00007292232,0.0001604985],"domain_scores_gemma":[0.9983487,0.0005985272,0.00001946139,0.000906488,0.00004214585,0.00008466031],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001150602,0.0007055954,0.04069018,0.002171979,0.0009903025,0.000006678934,0.02284171,0.02984007,0.01666293,0.1485351,0.05318331,0.6842571],"study_design_scores_gemma":[0.0004540798,0.00002368715,0.0005188379,0.0000160511,0.00001392634,0.00001044062,0.0000784379,0.5780674,0.0003645125,0.0007080308,0.4195521,0.0001924247],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06427748,0.3168692,0.2234904,0.0009180328,0.0004566524,0.004670891,0.0009112634,0.00248795,0.3859181],"genre_scores_gemma":[0.955602,0.02159216,0.02069058,0.00004295693,0.00001843747,0.0002737654,0.00008694946,0.00003573217,0.001657416],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8913245,"threshold_uncertainty_score":0.4192611,"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."}}