{"id":"W2093924343","doi":"10.1016/j.measurement.2014.10.047","title":"Measuring the weather’s impact on MAC layer over 2.4GHz outdoor radio links","year":2014,"lang":"en","type":"article","venue":"Measurement","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Frame (networking); IEEE 802.11; Link layer; Computer science; Scheme (mathematics); Radio Link Protocol; Radio frequency; Telecommunications; Computer network; Environmental science; Wireless lan; Wireless; Mathematics","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":[0.0003995612,0.0004228546,0.0002652791,0.0004414646,0.0003896198,0.0003765061,0.0002887193,0.0004788278,0.0008804405],"category_scores_gemma":[0.001346385,0.0001717766,0.0001604791,0.0005209793,0.000201568,0.0003676458,0.0002804791,0.0004963966,0.0001931684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003411773,"about_ca_system_score_gemma":0.0001829391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003595812,"about_ca_topic_score_gemma":0.004082868,"domain_scores_codex":[0.9994381,0.00008329785,0.00001956703,0.00009801443,0.0001905872,0.000170337],"domain_scores_gemma":[0.9988388,0.0005604647,0.0001590484,0.0001010248,0.0002692072,0.00007136662],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002134064,0.0004127165,0.2310985,0.0002119815,0.0003150787,0.0006629198,0.0006249705,0.06381197,0.6517674,0.0006542387,0.001660933,0.04664519],"study_design_scores_gemma":[0.00006159044,0.001778359,0.6021479,0.00002778432,0.0003413814,0.0006529315,0.000595201,0.1088152,0.2822801,0.0002294853,0.003007366,0.00006257114],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944884,0.0001085904,0.003655593,0.00005870973,0.00003626766,0.000006353295,0.0002041554,0.0001267368,0.001315161],"genre_scores_gemma":[0.9992536,0.00003932935,0.0003172358,0.00001932204,0.000009629987,0.000002780239,0.0001109223,0.000009652974,0.0002375698],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003595812,"threshold_uncertainty_score":0.007149756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06895547985142668,"score_gpt":0.2767938895274328,"score_spread":0.2078384096760061,"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."}}