{"id":"W7133328837","doi":"10.1109/ciot67574.2025.11410018","title":"MABs for Adaptive Resource Optimization in LoRa IoT Networks","year":2025,"lang":"","type":"article","venue":"","topic":"IoT Networks and Protocols","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Safran Electronics (Canada)","funders":"Agence Nationale de la Recherche","keywords":"Transmission (telecommunications); Data transmission; Internet of Things; Energy (signal processing); Range (aeronautics); Interval (graph theory); Resource (disambiguation); Resource allocation; Upper and lower bounds","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004637098,0.0003121506,0.0003760228,0.0002167308,0.0001220252,0.0001192394,0.0002207513,0.0004422105,0.0003419742],"category_scores_gemma":[0.00002767572,0.0003407516,0.000124258,0.0008853797,0.00003295262,0.00009103979,0.00007597323,0.0003800134,0.00000707217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002101976,"about_ca_system_score_gemma":0.00005530106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003190431,"about_ca_topic_score_gemma":0.00005595652,"domain_scores_codex":[0.9982447,0.00007082995,0.0005927518,0.0003843567,0.00009816211,0.0006091863],"domain_scores_gemma":[0.999146,0.0003317792,0.00006103632,0.0003127685,0.00007733007,0.00007111928],"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":[0.0003331503,0.00003724725,0.00006465554,0.00013281,0.00005537003,0.0000019805,0.00008743945,0.9417546,0.000001188501,0.01072032,0.02307518,0.02373606],"study_design_scores_gemma":[0.001424275,0.0001187029,0.00007381584,0.0006841352,0.00002875455,4.034893e-7,0.0001044234,0.9352783,0.0000410944,0.0006175154,0.06132114,0.0003074659],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00002256521,0.001121132,0.941264,0.0003791405,0.000467351,0.01394847,0.000004045837,0.0001136174,0.0426797],"genre_scores_gemma":[0.5751687,0.0009388051,0.3075448,0.004501828,0.004327803,0.05090952,0.0002272784,0.0004964993,0.05588477],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6337192,"threshold_uncertainty_score":0.9999045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01199190231521178,"score_gpt":0.2471116776559016,"score_spread":0.2351197753406898,"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."}}