{"id":"W3214432592","doi":"10.32920/ryerson.14668233.v1","title":"Chaos based cryptography and image encryption","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Chaos-based Image/Signal Encryption","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Encryption; Cryptography; Computer science; Theoretical computer science; Chaotic; Probabilistic encryption; Multiple encryption; Transmitter; Computer engineering; Algorithm; Computer security; Computer network; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0005308697,0.0004746073,0.0004366363,0.0005286249,0.0001362096,0.001256328,0.0009380479,0.0003296852,0.0002708563],"category_scores_gemma":[0.00007348501,0.0004835878,0.0002931118,0.0005599501,0.0001364449,0.0007632932,0.001552674,0.0007168584,0.00004645964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009525854,"about_ca_system_score_gemma":0.0003405449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001871539,"about_ca_topic_score_gemma":0.00002494748,"domain_scores_codex":[0.9969205,0.0002194296,0.0004491607,0.00138353,0.0006065869,0.0004207862],"domain_scores_gemma":[0.9976323,0.000146945,0.0002420149,0.001405773,0.000342602,0.0002304175],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001474886,0.00197292,0.002123835,0.004192762,0.0005881999,0.001164575,0.004185219,0.004852058,0.5139083,0.1627384,0.01222855,0.2918978],"study_design_scores_gemma":[0.002010697,0.0002559403,0.01136913,0.0007894429,0.0001128386,0.00006477447,0.0001502592,0.8493149,0.09897444,0.03314731,0.001328198,0.002482119],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01731663,0.0004148591,0.9755547,0.001630619,0.0007530596,0.0004498732,0.000009293321,0.0006470374,0.003223913],"genre_scores_gemma":[0.3200055,0.0001447704,0.6778934,0.001423795,0.0001915275,0.0001200868,0.0001221065,0.00003867971,0.00006010812],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8444628,"threshold_uncertainty_score":0.9997805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01093040468027375,"score_gpt":0.2338540026886523,"score_spread":0.2229235980083785,"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."}}