{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001388939,0.000349565,0.0006084264,0.0006312357,0.0009289281,0.0004743634,0.001525344,0.0005584704,0.001162265],"category_scores_gemma":[0.002734111,0.000211311,0.0002467734,0.0004914775,0.0006660689,0.001104329,0.001014634,0.0005157895,0.0002389396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005436342,"about_ca_system_score_gemma":0.000637872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008199814,"about_ca_topic_score_gemma":0.00110069,"domain_scores_codex":[0.9991265,0.0002994543,0.00007760061,0.0001938703,0.0002317066,0.000070869],"domain_scores_gemma":[0.9984225,0.0006198573,0.0001777968,0.0004310727,0.0002473654,0.0001014393],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001238545,0.0004273746,0.002416605,0.0005579471,0.0001086411,0.0003669671,0.00145575,0.2124294,0.209134,0.1483722,0.004223151,0.4192694],"study_design_scores_gemma":[0.0001996414,0.0008430352,0.0007499208,0.00003334174,0.00004419894,0.0002904048,0.0001041425,0.9349889,0.025376,0.02578889,0.01150537,0.00007621874],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03675584,0.000434376,0.9598151,0.0001141891,0.0001072421,0.0001461218,0.00003270951,0.0005125796,0.002081786],"genre_scores_gemma":[0.8496482,0.0002022718,0.1479183,0.0001462091,0.00007547462,0.0002878928,0.00005200544,0.00002685956,0.001642808],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001525344,"threshold_uncertainty_score":0.007345498,"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."}}