{"id":"W2249066755","doi":"10.1109/icumt.2015.7382442","title":"A Wireless Body Area Network architecture for a prosthetic arm","year":2015,"lang":"en","type":"article","venue":"","topic":"Wireless Body Area Networks","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Architecture; Body area network; Wireless; Network packet; Computer network; Wireless network; Implementation; Connection (principal bundle); Network architecture; Embedded system; Wireless sensor network; Engineering; Telecommunications","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":[0.0001893173,0.000239441,0.0002566272,0.00004862629,0.00005124381,0.0000523619,0.0002138246,0.0001399825,0.00002878265],"category_scores_gemma":[0.00001627476,0.0002090112,0.00008636958,0.0002152104,0.00003721349,0.00006158668,0.00003994075,0.0002073925,0.00003129473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006929052,"about_ca_system_score_gemma":0.00003235476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006330998,"about_ca_topic_score_gemma":0.00007416158,"domain_scores_codex":[0.9988011,0.00001623923,0.000213288,0.0002257211,0.0001650131,0.0005786839],"domain_scores_gemma":[0.9992725,0.00007878913,0.00002447577,0.0003309393,0.00006340598,0.0002299058],"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":[0.00007098434,0.00004843908,0.0003875517,0.00008448128,0.00007784108,0.00001188096,0.0004850137,0.8502586,0.000173392,0.003750855,0.1243539,0.02029704],"study_design_scores_gemma":[0.001270247,0.0002010792,0.0001348822,0.0001068496,0.00003878306,0.00005239208,0.00008262233,0.9076408,0.0006289356,0.009914435,0.07933228,0.0005966817],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2079834,0.001213454,0.7291945,0.0006078517,0.001861573,0.002261503,0.00002414541,0.003211151,0.05364236],"genre_scores_gemma":[0.9918537,0.000008384386,0.006205763,0.0001349039,0.0007270021,0.0002889219,0.00002953089,0.00009910329,0.000652755],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7838702,"threshold_uncertainty_score":0.8523227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01520529048986951,"score_gpt":0.2129911540388357,"score_spread":0.1977858635489662,"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."}}