{"id":"W4410252960","doi":"10.1016/j.procs.2025.04.486","title":"Green IoT: AI-Powered Solutions for Sustainable Energy Management in Smart Devices","year":2025,"lang":"en","type":"article","venue":"Procedia Computer Science","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Computer science; Internet of Things; Green computing; Embedded system; Energy management; Energy (signal processing); Computer security; Operating system; Cloud computing","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":[],"consensus_categories":[],"category_scores_codex":[0.001287046,0.0002202014,0.0002252149,0.0009641513,0.0008556743,0.0007318963,0.002776013,0.00005622873,5.059478e-7],"category_scores_gemma":[0.00003785521,0.0002210667,0.00007261403,0.003675795,0.0001904345,0.001078132,0.00264632,0.0001242219,0.000007149237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002426475,"about_ca_system_score_gemma":0.0005517962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001709023,"about_ca_topic_score_gemma":0.0000342522,"domain_scores_codex":[0.9968822,0.00002514459,0.0003786203,0.000981181,0.0003862896,0.001346537],"domain_scores_gemma":[0.9986219,0.0001219003,0.00009101161,0.0006002805,0.0004356136,0.0001292779],"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":[0.00001089074,0.0001860264,0.002085164,0.0003341156,0.0000247524,0.0000425462,0.0009596273,0.0007122682,0.00005780519,0.648072,0.01186227,0.3356526],"study_design_scores_gemma":[0.0006023889,0.00007984942,0.008484506,0.0001155199,0.000008264916,0.000007808154,0.00003180778,0.8665418,0.0003810073,0.05206481,0.0713113,0.000370966],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001845507,0.0002410195,0.986095,0.002928121,0.003945608,0.0004312775,1.31966e-7,0.0002314684,0.004281883],"genre_scores_gemma":[0.6194643,0.00002149798,0.368569,0.007123958,0.001171517,0.0003322624,0.000003654127,0.00002280477,0.003290931],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8658295,"threshold_uncertainty_score":0.9014837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01214646105209272,"score_gpt":0.2524532804623522,"score_spread":0.2403068194102594,"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."}}