{"id":"W2147036035","doi":"10.1002/wcm.809","title":"Cognitive wireless personal area network for monitoring and control","year":2009,"lang":"en","type":"article","venue":"Wireless Communications and Mobile Computing","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Computer network; Network packet; Node (physics); Wireless; ISM band; Transmission (telecommunications); Frequency-hopping spread spectrum; Cognitive radio; Duration (music); Real-time computing; Personal area 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":[0.0008803902,0.0004465641,0.0004712002,0.0002702794,0.0003282715,0.0008094106,0.001029547,0.0007259771,0.002300947],"category_scores_gemma":[0.001423796,0.00007922888,0.0002028092,0.0002968393,0.0003902231,0.0005489358,0.0004966257,0.0005250761,0.000269044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005793323,"about_ca_system_score_gemma":0.0005191703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001817447,"about_ca_topic_score_gemma":0.001291096,"domain_scores_codex":[0.9993588,0.0002370211,0.00001574794,0.00008257854,0.0002460243,0.00005985836],"domain_scores_gemma":[0.9994355,0.0002640295,0.00005503706,0.00006583807,0.0001427701,0.0000368939],"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":[0.00104441,0.0004708497,0.002821353,0.0003778285,0.0002235835,0.0004149804,0.00008160889,0.5586786,0.0560315,0.03522614,0.00505366,0.3395755],"study_design_scores_gemma":[0.00004756726,0.0003251782,0.0005664551,0.00001377725,0.00004387475,0.0001276051,0.00001675117,0.9856684,0.005088393,0.00437156,0.003716526,0.00001384454],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1557672,0.006026595,0.814688,0.0007662709,0.0004106613,0.0002161399,0.00005862036,0.001206842,0.02085978],"genre_scores_gemma":[0.9444514,0.0006109829,0.05178311,0.0001619506,0.0000747309,0.00007845015,0.00003082362,0.00001122299,0.002797251],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002300947,"threshold_uncertainty_score":0.007697463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02182102416612557,"score_gpt":0.2764652369682792,"score_spread":0.2546442128021537,"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."}}