{"id":"W4282030205","doi":"10.17762/ijcnis.v14i1.5065","title":"Lightweight Scheme for Smart Home Environments using Offloading Technique","year":2022,"lang":"en","type":"article","venue":"International Journal of Communication Networks and Information Security (IJCNIS)","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Université du Québec","funders":"","keywords":"Computer science; Cloud computing; Computer security; Service provider; Access control; Encryption; Home automation; Wearable technology; Analytics; Wearable computer; Service (business); Internet privacy; Telecommunications; Embedded system; Data science; Business","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":[0.0003348236,0.0005233156,0.0008502691,0.000473573,0.001418384,0.001038961,0.0008662072,0.0007874078,0.006531488],"category_scores_gemma":[0.0009097115,0.0001453789,0.0004881742,0.0004756548,0.0005793157,0.002369718,0.002506934,0.0008596687,0.001753932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005169634,"about_ca_system_score_gemma":0.0005521151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006814314,"about_ca_topic_score_gemma":0.0007790567,"domain_scores_codex":[0.9991961,0.0001802713,0.00006596804,0.0001055931,0.0002209881,0.0002311],"domain_scores_gemma":[0.9992913,0.0001316846,0.00005865684,0.0003210097,0.0001375952,0.00005981146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002562589,0.0007665057,0.001872621,0.0005281231,0.0001223628,0.002043569,0.001383794,0.03821111,0.1997685,0.2201948,0.02134269,0.5112035],"study_design_scores_gemma":[0.0003606705,0.001361005,0.002481153,0.0001678842,0.0001609863,0.00443648,0.00109527,0.6736534,0.09728326,0.1418405,0.07691991,0.0002395663],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1082435,0.0009408335,0.8549649,0.0006809889,0.0006314118,0.0004826022,0.0002076498,0.002575471,0.03127265],"genre_scores_gemma":[0.8769751,0.0003518839,0.1045847,0.0002611563,0.0001392019,0.0002403774,0.0002705917,0.00009800451,0.01707895],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006531488,"threshold_uncertainty_score":0.02184999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0113220846774988,"score_gpt":0.2488517455381488,"score_spread":0.23752966086065,"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."}}