{"id":"W2089764762","doi":"10.1109/icbbt.2010.5479009","title":"Reliability modeling for wireless Ultra Wideband biomedical radar sensing network","year":2010,"lang":"en","type":"article","venue":"","topic":"Wireless Body Area Networks","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Wireless sensor network; Ultra-wideband; Computer science; Radar; Mean time between failures; Reliability (semiconductor); Wireless; Real-time computing; Electronic engineering; Power (physics); Engineering; Computer network; Reliability engineering; Telecommunications; Failure rate","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":[],"consensus_categories":[],"category_scores_codex":[0.000553373,0.0002448583,0.0003124116,0.00004706534,0.0001540396,0.00005725288,0.0001829465,0.0003161814,0.0000564822],"category_scores_gemma":[0.00007378727,0.0002276755,0.0001138342,0.0002177763,0.00009390117,0.000151707,0.00002514766,0.0005308911,0.00001066157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000436334,"about_ca_system_score_gemma":0.00002996915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003912572,"about_ca_topic_score_gemma":0.000100976,"domain_scores_codex":[0.9983851,0.00001802401,0.0004061307,0.000333076,0.0002086848,0.0006489918],"domain_scores_gemma":[0.998908,0.0003105211,0.00002528735,0.0004531742,0.00008355695,0.0002194142],"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":[0.00003700381,0.00003127423,0.0001447648,0.0001378142,0.0000573791,0.000006912193,0.0001135908,0.8758569,0.07348616,0.00146645,0.01493475,0.03372697],"study_design_scores_gemma":[0.0003752177,0.00001525165,0.00002251244,0.0000387482,0.00001848015,0.0000138491,0.00002078075,0.9910067,0.002032444,0.001935907,0.004219742,0.0003003689],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3741889,0.00003549436,0.6218449,0.00007148416,0.00135462,0.0002494061,0.000005180929,0.0006636996,0.001586337],"genre_scores_gemma":[0.9520922,0.00001685427,0.04616053,0.00006480323,0.001487571,0.0000116155,0.00003382504,0.00008219061,0.0000503565],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5779034,"threshold_uncertainty_score":0.9284337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008640979086728173,"score_gpt":0.2145258821860346,"score_spread":0.2058849030993064,"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."}}