{"id":"W2163296475","doi":"10.1109/ccece.2009.5090164","title":"Performance of ZigBee networks in the presence of broadband electromagnetic noise","year":2009,"lang":"en","type":"article","venue":"","topic":"Scientific Research and Discoveries","field":"Physics and Astronomy","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Phase noise; Noise (video); Fractal; Multifractal system; Computer science; Fractal antenna; Electromagnetic interference; Electronic engineering; Electrical engineering; Engineering; Telecommunications; Antenna (radio); Omnidirectional antenna; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001910874,0.00004321716,0.00007791875,0.0000284137,0.00002361864,0.00001909716,0.0002154409,0.000008410964,0.0002152816],"category_scores_gemma":[0.000005390842,0.00002600503,0.00002923304,0.0002389779,0.00007594337,0.0001044883,0.00001322025,0.00006055368,0.000001746152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001651126,"about_ca_system_score_gemma":0.00003070073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001149077,"about_ca_topic_score_gemma":0.000006233844,"domain_scores_codex":[0.9994348,0.00002744309,0.0001258858,0.00008154005,0.0001653285,0.000164988],"domain_scores_gemma":[0.9996921,0.00005128546,0.00003378568,0.0001760783,0.00002755392,0.00001916811],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003702877,0.0009229344,0.7972844,0.00004812065,0.0000236158,0.00000148285,0.002008271,0.006982048,0.04576574,0.05238548,0.01227323,0.08193446],"study_design_scores_gemma":[0.0009918385,0.001329612,0.8648212,0.00006338988,0.000009889529,0.000001227574,0.001241158,0.06607626,0.05954603,0.00539049,0.0003392283,0.000189671],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9461634,0.00006696006,0.0002624725,0.00007045714,0.00001323134,0.00009921717,0.000001469008,0.000001572489,0.05332123],"genre_scores_gemma":[0.9991783,0.000008869389,0.00006685736,0.00001215052,0.00002349571,0.000003736884,0.000002734959,0.000001065322,0.0007027113],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08174479,"threshold_uncertainty_score":0.2357183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007630272015358553,"score_gpt":0.2431109222975396,"score_spread":0.2354806502821811,"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."}}