{"id":"W1819777432","doi":"10.1109/icwc.1992.200716","title":"Propagation coverage prediction techniques for indoor wireless communications","year":2003,"lang":"en","type":"article","venue":"","topic":"Surface Roughness and Optical Measurements","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Wireless; Computer science; Workstation; Wireless network; Computer network; Telecommunications","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":[0.0004467702,0.001076038,0.0007043502,0.001358215,0.0003764026,0.0008513688,0.0009639274,0.0006023354,0.00366145],"category_scores_gemma":[0.003322245,0.00041294,0.0006893073,0.002239267,0.0003253077,0.001475231,0.0006611604,0.001321613,0.002069617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005013668,"about_ca_system_score_gemma":0.0003274094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004102646,"about_ca_topic_score_gemma":0.003144251,"domain_scores_codex":[0.9993734,0.0001087417,0.00002444463,0.00008044323,0.0003731713,0.00003993719],"domain_scores_gemma":[0.9989763,0.0005029545,0.00008531976,0.0001435791,0.0002749414,0.00001690286],"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":[0.00006520089,0.000034657,0.001070063,0.0002544287,0.00007611424,0.0001260633,0.0001342202,0.2526544,0.00827369,0.02787679,0.01715924,0.6922752],"study_design_scores_gemma":[0.00001095924,0.00005716912,0.001260999,0.00009372897,0.00005167854,0.0002931636,0.0000750145,0.9204707,0.006044701,0.03162387,0.03996938,0.00004865002],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001805837,0.002133183,0.9920732,0.0001681379,0.0001327979,0.00002158372,0.00008696381,0.0007909244,0.002787495],"genre_scores_gemma":[0.2389335,0.0188373,0.7232708,0.000304903,0.001009751,0.0002318748,0.00132496,0.0006423214,0.01544456],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004102646,"threshold_uncertainty_score":0.01224875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02777821205142888,"score_gpt":0.2477464203012163,"score_spread":0.2199682082497874,"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."}}