{"id":"W1576672192","doi":"10.1007/978-3-540-27824-5_166","title":"Performance Analysis of Multi-pattern Frequency Hopping Wireless LANs","year":2004,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Frequency-hopping spread spectrum; Computer network; Throughput; Network packet; Local area network; Physical layer; Transmission (telecommunications); Wireless; Interference (communication); IEEE 802.11; Wireless network; Telecommunications; Channel (broadcasting)","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007886384,0.0005680347,0.001010113,0.001626091,0.0002143813,0.00029057,0.004007103,0.0003695156,0.00003802416],"category_scores_gemma":[0.00001643087,0.0005172173,0.0003137038,0.002161775,0.0005790769,0.0006074672,0.0009727853,0.0007741032,0.00001379476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003087377,"about_ca_system_score_gemma":0.0005979732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001551137,"about_ca_topic_score_gemma":0.0003426212,"domain_scores_codex":[0.9959645,0.00003757049,0.0007995819,0.001467989,0.001001784,0.0007285431],"domain_scores_gemma":[0.9970226,0.0002429473,0.0005760424,0.001698363,0.0002936143,0.0001664468],"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":[0.000002547151,0.00004256624,0.003819016,0.0001080344,0.0001154863,0.00004376401,0.0007809981,0.3321802,0.0001138793,0.003883462,0.000001235206,0.6589088],"study_design_scores_gemma":[0.00031769,0.000141597,0.003644127,0.0008921908,0.00006550261,0.000009927089,9.421198e-8,0.9885026,0.0006457672,0.005102866,0.0000412323,0.0006363856],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001394202,0.0001719457,0.995307,0.000161905,0.0005948921,0.001353149,0.0000112115,0.0001117983,0.0008938924],"genre_scores_gemma":[0.8431792,0.00007265716,0.1557861,0.0005155402,0.0002342677,0.00009968356,0.00001004262,0.00003367992,0.00006881266],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.841785,"threshold_uncertainty_score":0.999728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02187378422752464,"score_gpt":0.2572608048354157,"score_spread":0.2353870206078911,"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."}}