{"id":"W1967217388","doi":"10.1109/icc.2010.5501961","title":"An Efficient MAC Protocol with Correlated Connection Arrival and Variable Slot Assignment in Wireless Sensor Networks","year":2010,"lang":"en","type":"article","venue":"","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Time division multiple access; Computer network; Computer science; Network packet; Wireless sensor network; Scheduling (production processes); Real-time computing; 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":[0.001885147,0.0006758851,0.0006582465,0.0007454779,0.0004593127,0.0007398881,0.001192427,0.0006015137,0.0002793958],"category_scores_gemma":[0.003004112,0.0004466306,0.0004965054,0.0008917531,0.0008702928,0.001292286,0.0005526746,0.0006355207,0.00007649684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007355381,"about_ca_system_score_gemma":0.001112337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001547265,"about_ca_topic_score_gemma":0.00133763,"domain_scores_codex":[0.9987942,0.0005162135,0.00004390025,0.0001167152,0.0004412058,0.00008769318],"domain_scores_gemma":[0.9988036,0.0006385131,0.0001586454,0.0001668723,0.0002019731,0.00003041447],"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":[0.00008245431,0.00005282256,0.0006822993,0.00007765236,0.00005924722,0.0001060136,0.00006927125,0.9144138,0.009939289,0.05250343,0.0005061373,0.02150757],"study_design_scores_gemma":[0.000003932052,0.00002972977,0.00005968209,0.000001873443,0.000007319411,0.00002108902,0.000002846969,0.9969283,0.0005845266,0.002070883,0.000285866,0.000003917854],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04597271,0.0008353586,0.9513681,0.0001128302,0.00006656012,0.00006668529,0.00002610836,0.0002974512,0.001254312],"genre_scores_gemma":[0.8644653,0.0007760142,0.1331958,0.00006524006,0.00007628878,0.0001877251,0.00005452108,0.00004742266,0.001131756],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001885147,"threshold_uncertainty_score":0.009969711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004367894384348914,"score_gpt":0.2171297854537657,"score_spread":0.2127618910694168,"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."}}