{"id":"W2097394348","doi":"10.1109/vetecf.2002.1040531","title":"Designing for coverage availability with different data rates - an improved methodology","year":2003,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nortel (Canada)","funders":"","keywords":"Margin (machine learning); Link budget; Shadow (psychology); Shadow mapping; Computer science; Range (aeronautics); Fade; Telecommunications; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002706287,0.0009196207,0.0008259478,0.001042963,0.0003576383,0.001063186,0.001015074,0.0007448231,0.002689311],"category_scores_gemma":[0.008222076,0.0006064934,0.0008366698,0.0007308293,0.0004015233,0.001545976,0.0009741742,0.0009687168,0.0005341842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007808462,"about_ca_system_score_gemma":0.0008279376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001687687,"about_ca_topic_score_gemma":0.00110075,"domain_scores_codex":[0.9976572,0.0008280144,0.0001221177,0.0003219939,0.0008999741,0.0001707106],"domain_scores_gemma":[0.9966445,0.001916507,0.0002920469,0.0004030536,0.0006752993,0.00006863712],"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":[0.0001159804,0.00006193732,0.002400663,0.0001791408,0.00008353979,0.0002173727,0.0001265613,0.7904896,0.01724799,0.03503536,0.0009669829,0.1530749],"study_design_scores_gemma":[0.000012552,0.00005445656,0.0003387289,0.00001216252,0.00001855691,0.00008686413,0.00001153588,0.9893912,0.003922019,0.004158669,0.00198091,0.00001230884],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003331419,0.00007146347,0.9958332,0.00002470093,0.000007384748,0.00002406129,0.00001530348,0.00009509549,0.0005973146],"genre_scores_gemma":[0.2473725,0.0003161209,0.7499721,0.00009128546,0.0000553402,0.0002865759,0.00009909302,0.0001205867,0.001686447],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002706287,"threshold_uncertainty_score":0.01431239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09191115661390421,"score_gpt":0.3137589198333623,"score_spread":0.2218477632194581,"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."}}