{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005776282,0.001352015,0.0006989514,0.00158004,0.0004729615,0.001538227,0.002168275,0.0007044278,0.006125013],"category_scores_gemma":[0.007192072,0.0004131694,0.0005684653,0.0005139469,0.0004871958,0.001705378,0.001392474,0.001523244,0.002666337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007519693,"about_ca_system_score_gemma":0.001393654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001108206,"about_ca_topic_score_gemma":0.0006364977,"domain_scores_codex":[0.9953028,0.00134137,0.0004861163,0.0003938905,0.002130418,0.0003453843],"domain_scores_gemma":[0.9958329,0.0009805429,0.0004277572,0.000697502,0.001778832,0.0002825838],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002598284,0.00245077,0.007607751,0.0017897,0.000292401,0.001550117,0.001690265,0.06529718,0.2168003,0.0614016,0.0371843,0.6013374],"study_design_scores_gemma":[0.0006997018,0.004505593,0.006416433,0.0004318428,0.0002102765,0.001378221,0.000236975,0.5744035,0.1922536,0.01055632,0.2086137,0.0002938618],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04595724,0.0005467003,0.9009351,0.0002360894,0.0002984979,0.002553398,0.0006528019,0.03288355,0.01593671],"genre_scores_gemma":[0.3643294,0.0006504947,0.606331,0.000305787,0.0001195582,0.004116989,0.003739941,0.004073556,0.01633327],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006125013,"threshold_uncertainty_score":0.03054827,"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."}}