{"id":"W2896489205","doi":"10.5539/cis.v11n4p36","title":"IoT ReDy Architecture for Smart Grid Management","year":2018,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Smart grid; Scalability; Default gateway; Architecture; Grid; Distributed computing; Renewable energy; Internet of Things; Electricity; Computer network; Computer security; Database; Electrical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004974643,0.0003696381,0.000364441,0.0004244456,0.0007081169,0.001530613,0.001146646,0.0006758809,0.007107908],"category_scores_gemma":[0.0004337447,0.0002377862,0.000369794,0.0005256863,0.0003885416,0.001779875,0.001898932,0.00102114,0.002967702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006754958,"about_ca_system_score_gemma":0.0009280542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002048577,"about_ca_topic_score_gemma":0.002478625,"domain_scores_codex":[0.9997073,0.00003969933,0.00002692344,0.00005744964,0.00010238,0.00006629215],"domain_scores_gemma":[0.9997955,0.00001388472,0.00001667524,0.00006467364,0.00007640451,0.00003286844],"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":[0.0006164396,0.0002558805,0.001248435,0.0004136618,0.0001049761,0.000768137,0.0007198936,0.04960124,0.02681024,0.4614065,0.134481,0.3235737],"study_design_scores_gemma":[0.00008764231,0.0002046799,0.001094834,0.0001159988,0.0000946374,0.000527757,0.0002145645,0.3582471,0.01846299,0.09928053,0.5215918,0.00007743374],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01968458,0.002082743,0.8527776,0.001978024,0.0009606441,0.0003975764,0.000534113,0.01508979,0.1064949],"genre_scores_gemma":[0.5395989,0.002446773,0.3570132,0.002069518,0.0004461938,0.0006510185,0.002359533,0.0008489991,0.09456583],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007107908,"threshold_uncertainty_score":0.02377832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01078034096585685,"score_gpt":0.2404050914629699,"score_spread":0.229624750497113,"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."}}