{"id":"W7131387775","doi":"10.1109/aicare66005.2025.11402761","title":"AI-Driven Decentralized Storage Framework over Bluetooth Mesh: Performance and Resilience Evaluation for IoT Edge Systems","year":2025,"lang":"","type":"article","venue":"","topic":"Bluetooth and Wireless Communication Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Bluetooth; Node (physics); Enhanced Data Rates for GSM Evolution; Resilience (materials science); Computer data storage; Edge computing; Mesh networking; Internet of Things","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","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001790429,0.000491658,0.0006541485,0.0004892868,0.0009930418,0.001119036,0.002848601,0.0006432171,0.00004547976],"category_scores_gemma":[0.0009225461,0.0004653316,0.0001357767,0.001587769,0.0005542866,0.0009635543,0.001252834,0.0006672961,0.00001442835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003146713,"about_ca_system_score_gemma":0.000996086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006848492,"about_ca_topic_score_gemma":0.0000311632,"domain_scores_codex":[0.9958829,0.0004043042,0.0009704104,0.001137943,0.0007479524,0.0008564866],"domain_scores_gemma":[0.9948874,0.000963475,0.0004270978,0.002722232,0.000831583,0.0001681943],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001340588,0.0001942902,0.006324244,0.0007203317,0.0001199608,7.468415e-7,0.0009557498,0.007152331,0.0002192059,0.687345,0.01014234,0.2866918],"study_design_scores_gemma":[0.00144642,0.0002203869,0.008475639,0.001014432,0.0001013116,0.000003150845,0.000305259,0.9644453,0.001485992,0.007521763,0.01448134,0.000498998],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1140426,0.01491696,0.8573604,0.006455458,0.002072512,0.003215475,0.00001750161,0.0005482152,0.001370877],"genre_scores_gemma":[0.9543581,0.005332283,0.03746942,0.001070808,0.00004638147,0.0005350549,0.000006995035,0.00002052084,0.001160457],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.957293,"threshold_uncertainty_score":0.9999179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02386919897737147,"score_gpt":0.3126670896871872,"score_spread":0.2887978907098157,"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."}}