{"id":"W2965627370","doi":"10.1002/cpe.5454","title":"Internet of Things ‐ integrated IR‐UWB technology for healthcare applications","year":2019,"lang":"en","type":"article","venue":"Concurrency and Computation Practice and Experience","topic":"Wireless Body Area Networks","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Université du Québec à Chicoutimi","funders":"","keywords":"Body area network; Computer science; Wireless; Node (physics); Computer network; Wireless sensor network; Ultra-wideband; Channel (broadcasting); Physical layer; Telecommunications; Electronic engineering; Engineering","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":[0.00006985945,0.00007958883,0.0001208492,0.00006287264,0.00003707872,0.00002187002,0.00006711687,0.00007029394,0.000004722862],"category_scores_gemma":[0.00003883833,0.00008047554,0.00001093614,0.0001783747,0.00007042204,0.0004044926,0.00002339699,0.0001150052,0.000002762179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001028065,"about_ca_system_score_gemma":0.00001594816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001615581,"about_ca_topic_score_gemma":9.307817e-7,"domain_scores_codex":[0.9995041,0.00001300584,0.000180383,0.0001535062,0.00004840903,0.0001005177],"domain_scores_gemma":[0.9994877,0.0002016338,0.00007448091,0.00007630242,0.0001279304,0.00003194788],"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":[0.00005759696,0.0000544023,0.003055503,0.0005976503,0.00004683049,9.276635e-7,0.02196181,0.001667602,0.001923875,0.07074662,0.0003628469,0.8995243],"study_design_scores_gemma":[0.0008813028,0.0003316904,0.0003944421,0.00024352,0.00003255064,0.00005605706,0.01953509,0.9171902,0.003670685,0.003749137,0.05352927,0.0003860707],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3974929,0.003804945,0.5968339,0.0004389107,0.0002338319,0.0005182849,0.000005411712,0.0001493717,0.0005224139],"genre_scores_gemma":[0.9948497,0.0002912148,0.004581372,0.00008408739,0.00001268958,0.0001421058,0.00001748364,0.000007531836,0.00001382506],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9155226,"threshold_uncertainty_score":0.3281697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01471353826214409,"score_gpt":0.2903653833738191,"score_spread":0.275651845111675,"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."}}