{"id":"W2020988785","doi":"10.1109/pimrc.2011.6139904","title":"Action-based scheduling technique for 802.15.4/ZigBee wireless body area networks","year":2011,"lang":"en","type":"article","venue":"","topic":"Wireless Body Area Networks","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Computer network; Scheduling (production processes); Wireless sensor network; Wireless; Energy consumption; Power consumption; Social connectedness; Distributed computing; Wireless network; Power (physics); Telecommunications; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000253868,0.0003481325,0.0003306492,0.0001483948,0.00014339,0.00004556883,0.0003197778,0.0003810101,0.0002934435],"category_scores_gemma":[0.00001790034,0.0003555177,0.0001633666,0.0002961541,0.00005297213,0.0002069121,0.00003214465,0.0003908068,0.00002036918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001169379,"about_ca_system_score_gemma":0.00003620704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003846332,"about_ca_topic_score_gemma":0.00008555042,"domain_scores_codex":[0.9984655,0.00002187532,0.0003787175,0.0003439684,0.0001470001,0.0006429268],"domain_scores_gemma":[0.9990235,0.000174284,0.00006096236,0.0004747285,0.0001000036,0.0001664954],"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":[0.0001410153,0.0001515655,0.002405998,0.0002793674,0.0002048655,0.00002003163,0.0001241665,0.9507744,0.02339049,0.003901793,0.007094177,0.01151218],"study_design_scores_gemma":[0.0004172034,0.00005034303,0.0003281442,0.0001042341,0.00003324825,0.000005910793,0.00004539463,0.9083749,0.08929611,0.000252348,0.000634327,0.0004578339],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02228544,0.000115392,0.9655927,0.00002075397,0.0006657908,0.000862209,0.000006465742,0.001676276,0.008775016],"genre_scores_gemma":[0.9566545,0.00002777022,0.04175874,0.00009591954,0.0003683658,0.0007769152,0.00003996339,0.0001471804,0.0001306371],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9343691,"threshold_uncertainty_score":0.9998897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03000861564245816,"score_gpt":0.2316206234388203,"score_spread":0.2016120077963621,"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."}}