{"id":"W4308825006","doi":"10.1109/cas56377.2022.9934500","title":"Encryption Algorithm using Linear Hybrid Cellular Automaton","year":2022,"lang":"en","type":"article","venue":"","topic":"Cellular Automata and Applications","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ontario Ministry of Research, Innovation and Science","keywords":"Computer science; Encryption; VHDL; Correctness; Hardware description language; Algorithm; Key (lock); Stream cipher; Field-programmable gate array; Block cipher; Symmetric-key algorithm; Cryptography; Theoretical computer science; Embedded system; Public-key cryptography; Computer network; Operating system","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000205377,0.00008989624,0.00008740677,0.00008955943,0.0004792345,0.00007173269,0.0006372469,0.00001294294,0.0003208309],"category_scores_gemma":[0.000002374877,0.00009581357,0.00006307109,0.0003992499,0.00001587585,0.0002273118,0.0005594096,0.000118601,0.0001065271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007829203,"about_ca_system_score_gemma":0.00006386738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005413666,"about_ca_topic_score_gemma":2.829156e-7,"domain_scores_codex":[0.9989686,0.00005233649,0.0001687217,0.000315207,0.000298518,0.0001965926],"domain_scores_gemma":[0.999305,0.00001898275,0.00005824965,0.0005303035,0.00002533028,0.00006221266],"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":[0.000002125046,0.0006364656,0.0001062916,0.00002098015,0.00004513257,0.0001739606,0.0007187306,0.01165319,0.3246824,0.2746442,0.00729659,0.3800199],"study_design_scores_gemma":[0.00009824504,0.00001801356,0.00003259023,8.62914e-7,0.000003828482,0.00007245367,0.00002067468,0.9290254,0.03158459,0.001751341,0.03726868,0.0001233814],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04352986,0.00005886401,0.9542011,0.0003186674,0.0002006356,0.0001391829,0.000006827324,0.0005461713,0.0009987138],"genre_scores_gemma":[0.4231401,0.000002808786,0.5755435,0.0003934249,0.00007990726,0.00005542382,0.00004049186,0.00001438547,0.0007300164],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9173722,"threshold_uncertainty_score":0.3907164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01687637262773136,"score_gpt":0.2410034415789688,"score_spread":0.2241270689512375,"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."}}