{"id":"W4212956198","doi":"10.3390/e24020266","title":"The Odyssey of Entropy: Cryptography","year":2022,"lang":"en","type":"review","venue":"Entropy","topic":"Chaos-based Image/Signal Encryption","field":"Computer Science","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Entropy (arrow of time); Cryptography; Computer science; Information theory; Theoretical computer science; Information diagram; Data science; Data mining; Mathematics; Computer security; Principle of maximum entropy; Maximum entropy thermodynamics; Artificial intelligence; Binary entropy function; Statistics; Physics","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"],"consensus_categories":[],"category_scores_codex":[0.0006705633,0.0004084166,0.000941467,0.0003063049,0.0003360621,0.0001944626,0.002876279,0.0001070716,0.0003312922],"category_scores_gemma":[0.0001346788,0.0002798449,0.00100988,0.001355265,0.000142207,0.0002054384,0.0007359965,0.0006250961,0.0001362828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001799412,"about_ca_system_score_gemma":0.0003677347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002155132,"about_ca_topic_score_gemma":0.000001216703,"domain_scores_codex":[0.9967207,0.000614221,0.0007607947,0.0006002223,0.0008312172,0.000472896],"domain_scores_gemma":[0.9966573,0.0009206642,0.0007682391,0.001481116,0.000062088,0.0001105609],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003489815,0.00005442974,8.917564e-7,0.0008814053,0.0001100471,0.00001717139,0.00004942259,0.000002671803,0.00001132274,0.1841269,0.004101201,0.8106411],"study_design_scores_gemma":[0.0001451359,0.0001033441,0.00000139666,0.0004783047,0.0001280163,0.00002322,0.000006504878,0.0002276906,0.00001489473,0.002639826,0.9959695,0.0002621858],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[4.895506e-7,0.934015,0.06333644,0.0001095749,0.001228856,0.000578467,0.00002137926,0.0001382771,0.0005714855],"genre_scores_gemma":[0.000003812362,0.9944546,0.00491603,0.00005877897,0.0002057842,0.0001657432,0.00003410945,0.00003825139,0.0001229515],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9918683,"threshold_uncertainty_score":0.9999654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03319154737962113,"score_gpt":0.2951630642689118,"score_spread":0.2619715168892907,"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."}}