{"id":"W4413178412","doi":"10.1109/netcrypt65877.2025.11102384","title":"Data Classification Using Sardine Optimized Adversarial Generative Quaternion Network with Fibonacci Q-Matrix Hyperchaotic Encryption Schemes in Cloud","year":2025,"lang":"en","type":"article","venue":"","topic":"Chaos-based Image/Signal Encryption","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Sardine; Fibonacci number; Encryption; Computer science; Quaternion; Artificial intelligence; Pattern recognition (psychology); Algorithm; Mathematics; Computer network; Discrete mathematics","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":[0.0006799845,0.0003710961,0.0003612443,0.0002049752,0.0002924903,0.0005846212,0.0004960194,0.000472872,0.001106548],"category_scores_gemma":[0.00112294,0.0001343112,0.0003369915,0.0002279279,0.0006584144,0.0008129142,0.0005119003,0.0006876441,0.0002208162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008028907,"about_ca_system_score_gemma":0.0004327338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002303589,"about_ca_topic_score_gemma":0.001637119,"domain_scores_codex":[0.9997148,0.00009496065,0.00001469326,0.00005529632,0.00008630235,0.00003396576],"domain_scores_gemma":[0.9997343,0.0001073516,0.00004049404,0.00004255898,0.00006027826,0.00001487081],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002315732,0.00005140673,0.001230157,0.00005778579,0.00003590199,0.0001530491,0.000113877,0.870793,0.01771418,0.05064902,0.001336611,0.05763332],"study_design_scores_gemma":[0.000002605266,0.00002337943,0.00006608413,0.000001872117,0.000002049765,0.00001158425,0.000004394063,0.9950575,0.001470227,0.003167726,0.000189343,0.000003187479],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1004166,0.0002756986,0.8940184,0.0004632589,0.00007449839,0.00005482365,0.00003690992,0.0002617931,0.004398066],"genre_scores_gemma":[0.9460584,0.0001458309,0.05029072,0.0001035188,0.00001587031,0.00003942742,0.00004615541,0.00001748217,0.003282544],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002303589,"threshold_uncertainty_score":0.0058254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06365267542830141,"score_gpt":0.329685957279166,"score_spread":0.2660332818508646,"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."}}