{"id":"W7125521826","doi":"10.1109/icces67310.2025.11337109","title":"Scalable IoT Architectures and Energy-Efficient Protocols for Secure and Adaptive Device Connectivity","year":2025,"lang":"","type":"article","venue":"","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Scalability; Internet of Things; Key (lock); Protocol (science)","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":[0.0004839736,0.000669213,0.0005110258,0.0005589051,0.0008705371,0.001600698,0.001330966,0.0007114107,0.002137233],"category_scores_gemma":[0.001098324,0.0003527921,0.0003460109,0.0008093393,0.000648728,0.003432637,0.001850458,0.001523366,0.0005263185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007381869,"about_ca_system_score_gemma":0.0008045308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001008176,"about_ca_topic_score_gemma":0.002571412,"domain_scores_codex":[0.9996536,0.00003879022,0.00002543119,0.00006036019,0.0001431971,0.00007869188],"domain_scores_gemma":[0.9995176,0.0001039744,0.00005467739,0.0001461125,0.0001430189,0.00003464698],"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":[0.0003208211,0.0002394021,0.001003135,0.0003202114,0.0001066003,0.0003818615,0.0002450575,0.2526196,0.08722842,0.4536623,0.02247015,0.1814025],"study_design_scores_gemma":[0.00002705765,0.0001163294,0.00049428,0.0000557505,0.00004740788,0.0002083777,0.0001449355,0.8233688,0.01815073,0.141253,0.01609048,0.00004267679],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03636716,0.002045466,0.9388837,0.001330414,0.0005242,0.0001696796,0.0002036526,0.001377343,0.01909848],"genre_scores_gemma":[0.8500148,0.001889625,0.1410474,0.0003082769,0.0001990175,0.0001672531,0.0004504399,0.0001381145,0.005785132],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002137233,"threshold_uncertainty_score":0.007149816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02186982445864708,"score_gpt":0.2837387435928875,"score_spread":0.2618689191342404,"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."}}