{"id":"W2125377024","doi":"10.1109/mass.2011.140","title":"Quorum-based Localized Scheme for Duty Cycling in Asynchronous Sensor Networks","year":2011,"lang":"en","type":"article","venue":"","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Time division multiple access; Computer science; Computer network; Wireless sensor network; Latency (audio); Asynchronous communication; Node (physics); Channel (broadcasting); Rendezvous; Synchronization (alternating current); Energy consumption; 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":[0.0005309606,0.000277147,0.0003491051,0.0001927231,0.0001248982,0.00008788717,0.0009163072,0.0002177212,0.00004684643],"category_scores_gemma":[0.00005619504,0.0002594202,0.000152034,0.0006332101,0.00007680241,0.0002197199,0.0001578393,0.0002375505,0.00002243349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009833099,"about_ca_system_score_gemma":0.00007824652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000170971,"about_ca_topic_score_gemma":0.000214841,"domain_scores_codex":[0.9976107,0.0001027168,0.0004985431,0.0007141685,0.0002324405,0.000841366],"domain_scores_gemma":[0.9984202,0.0003580528,0.0001391404,0.0008136233,0.0001060388,0.000162936],"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":[0.00008728535,0.0003129816,0.004468642,0.00001954006,0.00001990917,0.00004308783,0.0001861068,0.9521771,0.0002451391,0.03348874,0.0003149707,0.008636491],"study_design_scores_gemma":[0.001391192,0.00009799997,0.0005493021,0.00004876871,0.000004237667,0.000004217113,0.00001920403,0.9934271,0.003391064,0.0001508152,0.000562679,0.0003534333],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03133633,0.0001125584,0.9635432,0.0001729571,0.0005675858,0.0003796107,7.246352e-7,0.0004462719,0.003440718],"genre_scores_gemma":[0.5611081,0.000005711131,0.4380237,0.0005968862,0.00007850841,0.00004314461,0.00000423275,0.00002357843,0.0001160652],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5297718,"threshold_uncertainty_score":0.9999858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02778307238157699,"score_gpt":0.2341287243485903,"score_spread":0.2063456519670133,"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."}}