{"id":"W1551389946","doi":"10.1109/ihtc.2014.7147531","title":"Transmitting patient vitals over a reliable ZigBee mesh network","year":2014,"lang":"en","type":"article","venue":"","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"British Columbia Institute of Technology","funders":"","keywords":"Firmware; Computer science; Reliability (semiconductor); Real-time computing; Wireless sensor network; Mesh networking; Wireless; Key (lock); Embedded system; Computer network; Computer hardware; Telecommunications; Computer security","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":[0.0006039751,0.0001594531,0.0002525986,0.00005930259,0.0001493261,0.0002379656,0.0004524264,0.00007112588,0.0001376446],"category_scores_gemma":[0.00005301733,0.0001424755,0.0001145103,0.0003714754,0.00001868394,0.000710566,0.0001436434,0.0001240054,0.0003068793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003576096,"about_ca_system_score_gemma":0.00003215322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001383626,"about_ca_topic_score_gemma":0.00004501984,"domain_scores_codex":[0.9982861,0.0001442099,0.0003546263,0.0004526999,0.0003520584,0.0004102479],"domain_scores_gemma":[0.9987387,0.0003504514,0.0001275621,0.0005648554,0.00009208918,0.0001263312],"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":[0.00001479307,0.0001820002,0.005863819,0.00005493016,0.00008143904,0.0000138483,0.001913346,0.000478016,0.001269497,0.04314491,0.06407672,0.8829067],"study_design_scores_gemma":[0.001862604,0.000619085,0.005783189,0.000385329,0.00002724271,0.0001083934,0.0001381979,0.4530951,0.007825135,0.01403349,0.5146926,0.001429624],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04833255,0.0000611593,0.88966,0.0005735373,0.0008728435,0.0002930587,0.000001065052,0.0004918139,0.05971396],"genre_scores_gemma":[0.9845334,0.000002245716,0.0127845,0.001561452,0.0001957443,0.00003494715,0.000001207437,0.00001351673,0.0008729414],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9362009,"threshold_uncertainty_score":0.5809983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01071483651493951,"score_gpt":0.2138186327903026,"score_spread":0.2031037962753631,"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."}}