{"id":"W2127977730","doi":"10.1109/rose.2008.4669184","title":"An auto-load-balancing ALOHA system for wireless ad hoc and sensor networks","year":2008,"lang":"en","type":"article","venue":"","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Aloha; Computer network; Computer science; Node (physics); Wireless ad hoc network; Idle; Random access; Mobile radio; Wireless sensor network; Mobile ad hoc network; Wireless; Real-time computing; Throughput; Network packet; 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":[0.001122502,0.0005447569,0.000740355,0.0008634597,0.001034114,0.0009648422,0.002056828,0.0008174941,0.002145024],"category_scores_gemma":[0.001908375,0.0002582434,0.0003321258,0.0006438292,0.0007929134,0.001695997,0.001133638,0.0009523641,0.001034133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004134034,"about_ca_system_score_gemma":0.0004222673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004376718,"about_ca_topic_score_gemma":0.0005843,"domain_scores_codex":[0.9991585,0.0002719584,0.00006080544,0.0001417982,0.0003109703,0.00005591423],"domain_scores_gemma":[0.9984353,0.0006595852,0.0001924145,0.0002605857,0.0003702882,0.00008172158],"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":[0.001526754,0.0004079046,0.001843085,0.0007584387,0.0002335961,0.0009396226,0.0007285839,0.1367194,0.1180476,0.08757328,0.008002372,0.6432194],"study_design_scores_gemma":[0.0001337571,0.0007857759,0.0005776812,0.00004587455,0.0001432741,0.001445595,0.0001229146,0.9117201,0.02464132,0.03194074,0.02830178,0.0001411195],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0184416,0.001074704,0.9747253,0.0001512103,0.0002346028,0.0001209477,0.00003597534,0.002063419,0.003152243],"genre_scores_gemma":[0.7116224,0.001000473,0.276852,0.0004063876,0.0006251222,0.0003322365,0.0001464902,0.0001520534,0.008862793],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002145024,"threshold_uncertainty_score":0.007175803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01643913367763039,"score_gpt":0.2447320000889798,"score_spread":0.2282928664113494,"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."}}