{"id":"W2521214677","doi":"10.11159/icbes16.134","title":"Wireless Biomedical Sensor Networks: The Technology","year":2016,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Electrical Engineering and Computer Systems and Science","topic":"Wireless Body Area Networks","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wireless sensor network; Computer science; Wireless; Key distribution in wireless sensor networks; Computer network; Wireless network; Telecommunications","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001841572,0.0006486851,0.0007776691,0.001339329,0.0005469559,0.003218827,0.001372646,0.002021058,0.006306599],"category_scores_gemma":[0.003388577,0.0002774775,0.0003158468,0.002343526,0.001347761,0.004111247,0.00173653,0.002043833,0.004108398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008256189,"about_ca_system_score_gemma":0.001397072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006037177,"about_ca_topic_score_gemma":0.0003532958,"domain_scores_codex":[0.9980578,0.00054094,0.0001129279,0.0002608974,0.000951376,0.00007610075],"domain_scores_gemma":[0.9980304,0.0008109089,0.0001708722,0.0001812004,0.0006911788,0.0001155364],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001162523,0.0000681178,0.001500624,0.003568229,0.00009974898,0.0002915894,0.0005305326,0.002578588,0.009059911,0.1185052,0.07825198,0.7854292],"study_design_scores_gemma":[0.00001866387,0.0001704641,0.001440406,0.001862479,0.00005820655,0.001312279,0.0003237011,0.006449437,0.004146323,0.08193413,0.9022063,0.00007751091],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"methods","genre_scores_codex":[0.00603201,0.5988827,0.2406997,0.03298365,0.009974121,0.0003369333,0.0007927872,0.00131902,0.1089792],"genre_scores_gemma":[0.1515786,0.5909725,0.1607099,0.01195373,0.01416552,0.0006457245,0.001294914,0.0003045879,0.06837451],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.006306599,"threshold_uncertainty_score":0.02109766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003934680370155015,"score_gpt":0.1767857897082113,"score_spread":0.1728511093380563,"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."}}