{"id":"W2903735432","doi":"10.3390/s18124494","title":"A Software Defined Radio Evaluation Platform for WBAN Systems","year":2018,"lang":"en","type":"article","venue":"Sensors","topic":"Wireless Body Area Networks","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"China Scholarship Council; Chongqing Research Program of Basic Research and Frontier Technology; National Natural Science Foundation of China; National Science Foundation","keywords":"Body area network; Bluetooth; Wireless; Personal area network; Computer science; Embedded system; Reliability (semiconductor); Computer network; Software; Telecommunications; Power (physics); Operating system","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":[0.0002931162,0.0001354627,0.0001542409,0.00006818039,0.00008461434,0.00003774342,0.00008948975,0.000114635,0.00002627107],"category_scores_gemma":[0.0001145475,0.0001367146,0.00005254336,0.0001262425,0.00003156913,0.00007821864,0.000009324635,0.00007102115,0.00009260904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001509348,"about_ca_system_score_gemma":0.00001794863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001656207,"about_ca_topic_score_gemma":0.00004133103,"domain_scores_codex":[0.9991557,0.00001419278,0.0001921485,0.000155393,0.0001978874,0.0002847059],"domain_scores_gemma":[0.9994048,0.000110268,0.00003095797,0.0002361422,0.0001562952,0.00006149367],"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":[0.00006566862,0.00001837031,0.0005272416,0.0002909086,0.0001873447,0.000003834571,0.002254703,0.9205052,0.0009276071,0.001086833,0.03446264,0.03966965],"study_design_scores_gemma":[0.0005245759,0.00005210488,0.0004533895,0.00006181226,0.00003966757,0.00001066426,0.00008366338,0.9872047,0.0007923889,0.0001520699,0.01043149,0.0001934916],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9776582,0.0005918112,0.01437468,0.00002061527,0.002366292,0.0009705219,0.00002588583,0.0008382089,0.003153857],"genre_scores_gemma":[0.9965912,0.000007353581,0.002097917,0.000009510442,0.0009104201,0.0001019834,0.00004522729,0.00005968863,0.0001766705],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06669948,"threshold_uncertainty_score":0.5575062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02482154182886562,"score_gpt":0.2435125993524627,"score_spread":0.2186910575235971,"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."}}