{"id":"W2370905461","doi":"","title":"Implementation of Multi-time Scale HF Channel Model in NS2","year":2014,"lang":"en","type":"article","venue":"Telecommunication Engineering","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec","funders":"","keywords":"Fading; Fading distribution; Channel state information; Rayleigh fading; Channel (broadcasting); Computer science; Electronic engineering; Telecommunications; Engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008738366,0.0001088628,0.0001733739,0.0002922428,0.00005269983,0.00003742511,0.002041577,0.00005628221,0.000008536132],"category_scores_gemma":[0.00004152983,0.0001278355,0.00003794224,0.000604588,0.00002278093,0.0004197755,0.0006217961,0.0002393507,0.00001982938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008412947,"about_ca_system_score_gemma":0.00003779265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009007315,"about_ca_topic_score_gemma":0.00008649899,"domain_scores_codex":[0.9988479,0.000135365,0.0003954685,0.00017516,0.0001982923,0.0002478411],"domain_scores_gemma":[0.9978631,0.0001895755,0.0001096751,0.001679717,0.0001023797,0.00005559843],"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":[0.000001357539,0.00007326766,0.0003349145,0.00002085868,0.000006545802,5.06064e-8,0.001032456,0.9460099,0.009808302,0.005306381,0.00003460078,0.0373713],"study_design_scores_gemma":[0.000371962,0.00001441003,0.00704716,0.00002620173,0.000001028716,8.404091e-7,0.00002287455,0.9877913,0.004352858,0.0001244686,0.0001321609,0.0001147457],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05215824,0.0001676492,0.9464395,0.0005558025,0.00002116626,0.0002128428,0.000001062146,0.0001541845,0.0002895666],"genre_scores_gemma":[0.8341787,0.0001151082,0.1655592,0.00002212216,0.000007295941,0.00006217242,0.00001177585,0.00001421513,0.00002934735],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7820205,"threshold_uncertainty_score":0.5212983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02127995380662527,"score_gpt":0.2906655218332297,"score_spread":0.2693855680266044,"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."}}