{"id":"W2742348833","doi":"10.1109/jiot.2017.2734903","title":"Industrial Internet of Things Driven by SDN Platform for Smart Grid Resiliency","year":2017,"lang":"en","type":"article","venue":"IEEE Internet of Things Journal","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":179,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Engineering and Physical Sciences Research Council","keywords":"Computer science; Smart grid; Software-defined networking; Control reconfiguration; Distributed computing; SCADA; Computer network; Embedded system; Engineering","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":[0.0005235174,0.0002958871,0.0002275926,0.0002357867,0.0002705411,0.0005621784,0.0006230376,0.0003246051,0.0009841364],"category_scores_gemma":[0.0005438285,0.0001095046,0.0002416377,0.0001809501,0.0002527604,0.0007039516,0.0006115481,0.0006265159,0.0002479028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002855291,"about_ca_system_score_gemma":0.0006244313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008528003,"about_ca_topic_score_gemma":0.0008551482,"domain_scores_codex":[0.999662,0.00007039848,0.00002782672,0.00004906541,0.000147877,0.00004269892],"domain_scores_gemma":[0.9997306,0.00004217394,0.00003184543,0.00005620679,0.0001099062,0.00002926604],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006368027,0.0005272055,0.007729699,0.0007108948,0.0001449309,0.001329385,0.0005070821,0.316485,0.1733084,0.1624896,0.02688762,0.3092434],"study_design_scores_gemma":[0.00005144453,0.0002466052,0.0009200404,0.00004177264,0.00003199861,0.0001875928,0.00005839255,0.9268587,0.03030912,0.0122627,0.02900038,0.00003125412],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07520032,0.0008236858,0.8929323,0.0008174984,0.0007208391,0.0003518316,0.0002268792,0.004934758,0.02399185],"genre_scores_gemma":[0.8700748,0.0006991956,0.1225171,0.0003746127,0.0001143524,0.0003142885,0.0005526558,0.0001132031,0.005239898],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0009841364,"threshold_uncertainty_score":0.003292263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03913872457335744,"score_gpt":0.2719648863450497,"score_spread":0.2328261617716922,"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."}}