{"id":"W4323921947","doi":"10.48550/arxiv.2303.04931","title":"An Observer-Based Key Agreement Scheme for Remotely Controlled Mobile Robots","year":2023,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Key (lock); Robot; Scheme (mathematics); Cryptography; Computer security; Public key infrastructure; Software deployment; Distributed computing; Controller (irrigation); Mobile robot; Key exchange; Public-key cryptography; Encryption; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.001089395,0.000358784,0.0004485785,0.0002704232,0.0005359026,0.0007317121,0.00103953,0.0007537858,0.001391746],"category_scores_gemma":[0.002526607,0.0001533134,0.0003347978,0.0002768383,0.001100191,0.001673785,0.001408076,0.00107913,0.0002983192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005835588,"about_ca_system_score_gemma":0.000673486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004466382,"about_ca_topic_score_gemma":0.0003571327,"domain_scores_codex":[0.998736,0.0003691719,0.000100602,0.0002509866,0.0004372616,0.0001060137],"domain_scores_gemma":[0.9986872,0.000378624,0.0003546053,0.0003041569,0.0002110673,0.00006427637],"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":[0.001721408,0.0003072616,0.002024248,0.0005590854,0.0001485009,0.001196517,0.001757873,0.2145423,0.212185,0.3920192,0.003047853,0.1704907],"study_design_scores_gemma":[0.0002332074,0.0008418301,0.000533469,0.00004014716,0.00006174939,0.0003563593,0.00007768663,0.8947547,0.05746845,0.0316578,0.01389737,0.00007724801],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0263208,0.00009422651,0.9707224,0.0001680533,0.0000690883,0.0001113873,0.0000255908,0.000441802,0.002046661],"genre_scores_gemma":[0.9145645,0.000110345,0.08241825,0.00006593148,0.00002994724,0.0001454725,0.00005719923,0.00002084763,0.002587524],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001391746,"threshold_uncertainty_score":0.005761325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09210934318505055,"score_gpt":0.2066575874753537,"score_spread":0.1145482442903032,"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."}}