{"id":"W4317558279","doi":"10.1016/j.adhoc.2023.103283","title":"Massive multi-player multi-armed bandits for IoT networks: An application on LoRa networks","year":2023,"lang":"en","type":"article","venue":"Ad Hoc Networks","topic":"IoT Networks and Protocols","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Microsoft (Canada)","funders":"","keywords":"Computer science; Reliability (semiconductor); Network packet; Internet of Things; Energy consumption; Efficient energy use; Greedy algorithm; Distributed computing; Computer network; Power (physics); Embedded system; Algorithm; 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":[0.0006016814,0.0005302209,0.0005381115,0.0004568251,0.0008502059,0.001473876,0.000508702,0.0006721215,0.001877938],"category_scores_gemma":[0.001699736,0.0002010436,0.0003108327,0.0008527056,0.0008281008,0.001195393,0.001216758,0.001007859,0.0003702974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006405041,"about_ca_system_score_gemma":0.0003399767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001075148,"about_ca_topic_score_gemma":0.001249015,"domain_scores_codex":[0.9997202,0.0001311888,0.000007840769,0.0000314595,0.00006158796,0.00004770754],"domain_scores_gemma":[0.999185,0.0005131545,0.0000622411,0.00007101558,0.000116483,0.00005199754],"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":[0.0005183412,0.0002490942,0.001019819,0.0001899851,0.00008501018,0.0006789553,0.0004110932,0.5242644,0.02232222,0.2888259,0.007927609,0.1535076],"study_design_scores_gemma":[0.000007214877,0.0000593541,0.0001215961,0.00001021695,0.00001111143,0.0001425237,0.00005843318,0.9756541,0.001465958,0.02002473,0.002431401,0.00001326849],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06950489,0.002222854,0.9038779,0.001086997,0.0002458039,0.00007530159,0.00006729668,0.0006487476,0.0222702],"genre_scores_gemma":[0.9117634,0.001293486,0.0778753,0.0001482502,0.0001970977,0.00008037508,0.00004335431,0.00005955416,0.008539177],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001877938,"threshold_uncertainty_score":0.00628233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02852561733762429,"score_gpt":0.2886528128198791,"score_spread":0.2601271954822548,"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."}}