{"id":"W2116185090","doi":"10.1109/eurcom.2000.874789","title":"General non-stationary models for short-term and long-term fading channels","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of Ottawa","funders":"","keywords":"Rician fading; Fading; Term (time); Fading distribution; Envelope (radar); Multipath propagation; Rayleigh fading; Transmitter; Channel state information; Channel (broadcasting); Computer science; Applied mathematics; Telecommunications; Mathematics; Statistical physics; Physics; Wireless","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":[0.0009506766,0.001219468,0.001000283,0.0007549727,0.0005359424,0.001609898,0.00201241,0.001938493,0.003029675],"category_scores_gemma":[0.003112186,0.0006215296,0.001214434,0.001286671,0.001024448,0.002860726,0.001020072,0.002162189,0.001341127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00107533,"about_ca_system_score_gemma":0.0009906844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005056933,"about_ca_topic_score_gemma":0.004350672,"domain_scores_codex":[0.9993868,0.0001451015,0.00004237888,0.0001190708,0.0002019402,0.0001046366],"domain_scores_gemma":[0.999022,0.0004863087,0.0001879074,0.00009389793,0.0001678832,0.00004198683],"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":[0.00002036399,0.00003505298,0.0006144016,0.00008355582,0.00003347836,0.0002222169,0.0001663038,0.5724124,0.002646428,0.4152004,0.001287654,0.007277805],"study_design_scores_gemma":[0.000009416148,0.00001669196,0.0002282775,0.00001313744,0.0000130921,0.000121524,0.00003019896,0.8721976,0.0003160464,0.122539,0.004497105,0.00001798527],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01358464,0.001132711,0.9762031,0.0005351143,0.0001396486,0.00005847514,0.000323449,0.0001489713,0.00787393],"genre_scores_gemma":[0.730702,0.0111598,0.1828022,0.0007368399,0.000896317,0.0006647475,0.001566942,0.0002642499,0.0712068],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005056933,"threshold_uncertainty_score":0.01013529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04188777366358817,"score_gpt":0.2777845864913761,"score_spread":0.2358968128277879,"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."}}