{"id":"W884408679","doi":"10.1016/j.procs.2015.05.021","title":"Ad-ATMA: An Efficient MAC protocol for Wireless Sensor and Ad Hoc Networks","year":2015,"lang":"en","type":"article","venue":"Procedia Computer Science","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Computer network; Wireless ad hoc network; Multiple Access with Collision Avoidance for Wireless; Network packet; Wireless sensor network; Throughput; Ad hoc wireless distribution service; Latency (audio); Wireless; Wireless network; Vehicular ad hoc network; Optimized Link State Routing Protocol; Routing protocol; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001098304,0.0008873487,0.0006829388,0.001165469,0.0008902301,0.001211079,0.002334674,0.0009947418,0.003086954],"category_scores_gemma":[0.002137076,0.0003260513,0.0004301052,0.00128756,0.0006327351,0.001825524,0.001209089,0.001521089,0.001645843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004619411,"about_ca_system_score_gemma":0.000771201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000544316,"about_ca_topic_score_gemma":0.0008525573,"domain_scores_codex":[0.9988417,0.000281803,0.0001049592,0.00009918059,0.0006066099,0.00006581684],"domain_scores_gemma":[0.9991548,0.000219794,0.0001249876,0.000128392,0.0003078866,0.00006411822],"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":[0.0005664475,0.0003366947,0.0008026984,0.001663028,0.0003183153,0.0006808055,0.0002779882,0.04571516,0.06500495,0.08392254,0.06331731,0.7373939],"study_design_scores_gemma":[0.0002101004,0.0008029499,0.000941954,0.0002089102,0.0002237211,0.002044016,0.000113085,0.3785725,0.04835016,0.03008697,0.5382745,0.0001711992],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005491001,0.007078959,0.9711072,0.0004704705,0.001263427,0.0004707663,0.0003074427,0.004171172,0.009639574],"genre_scores_gemma":[0.201313,0.007955384,0.761172,0.0009911376,0.001007508,0.00188681,0.001196657,0.0004907189,0.02398684],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003086954,"threshold_uncertainty_score":0.01032686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03046801493151756,"score_gpt":0.2868980690896219,"score_spread":0.2564300541581043,"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."}}