{"id":"W4407937985","doi":"10.5220/0013370900003899","title":"ConCERTS: An IoT Cybersecurity Research Range for Education, Experimentation, and Security Research","year":2025,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer security; Computer science; Internet of Things; Range (aeronautics); 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":[0.01117916,0.001219596,0.0008836413,0.004359127,0.003505522,0.01092513,0.002735113,0.002289258,0.04025121],"category_scores_gemma":[0.006143878,0.000623462,0.001022887,0.002897689,0.003743174,0.009007301,0.01251322,0.005306716,0.01044335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002805107,"about_ca_system_score_gemma":0.006222097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002944499,"about_ca_topic_score_gemma":0.006397398,"domain_scores_codex":[0.9946227,0.001398661,0.000172746,0.000814195,0.002372412,0.000619215],"domain_scores_gemma":[0.9832992,0.002759023,0.0006071362,0.003714984,0.002236745,0.007382836],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001561308,0.001456234,0.0107273,0.0006004923,0.0001298121,0.0004907771,0.002992899,0.001556579,0.02385485,0.2781271,0.3454587,0.3330439],"study_design_scores_gemma":[0.0004089813,0.001178607,0.006277781,0.0003909563,0.00007709775,0.0004605366,0.003222678,0.003760534,0.007973604,0.04273133,0.9334178,0.0001001405],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03936497,0.007582471,0.1087893,0.03767127,0.007907006,0.001692612,0.0082396,0.01701293,0.7717399],"genre_scores_gemma":[0.4052413,0.008830464,0.2629771,0.01213537,0.008034546,0.003256055,0.01606882,0.00592265,0.2775339],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04025121,"threshold_uncertainty_score":0.1346537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07008284259569862,"score_gpt":0.4531871664589969,"score_spread":0.3831043238632983,"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."}}