{"id":"W4413388574","doi":"10.1016/j.tcs.2025.115518","title":"Hybrid encryption in correlated randomness model and KEM combiners","year":2025,"lang":"en","type":"article","venue":"Theoretical Computer Science","topic":"Chaos-based Image/Signal Encryption","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Randomness; Encryption; Computer science; Cryptography; Mathematics; Theoretical computer science; Algorithm; Statistics; Computer security","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0009376589,0.000583623,0.001038769,0.0007124969,0.0007309536,0.001734796,0.00106758,0.001191121,0.002892365],"category_scores_gemma":[0.001696831,0.000348825,0.001048307,0.001034429,0.00111463,0.002683833,0.001290725,0.0009432035,0.0006829603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006466254,"about_ca_system_score_gemma":0.0005283743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004273792,"about_ca_topic_score_gemma":0.0003898873,"domain_scores_codex":[0.9989187,0.0003453261,0.0000606933,0.0001859691,0.0003208655,0.0001684739],"domain_scores_gemma":[0.9989491,0.000391613,0.0001498829,0.0002739563,0.0001732498,0.00006215381],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005537522,0.00009266761,0.001496166,0.0001989069,0.0002662613,0.0009374829,0.0002297607,0.1710087,0.03577498,0.7669745,0.001437823,0.02102897],"study_design_scores_gemma":[0.00006552361,0.0001602457,0.000576773,0.00002691718,0.0001096982,0.0008751666,0.00006632279,0.8375405,0.01287742,0.1454471,0.002159762,0.00009445996],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1593224,0.001049489,0.8180681,0.0004965019,0.0001340417,0.00009571538,0.0002064325,0.000272451,0.02035481],"genre_scores_gemma":[0.9568924,0.0004638683,0.03402945,0.0001134278,0.00007378637,0.00005751544,0.00009076451,0.00003787992,0.008240938],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002892365,"threshold_uncertainty_score":0.00967598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00500772558660259,"score_gpt":0.2328723140003809,"score_spread":0.2278645884137783,"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."}}