{"id":"W2571602474","doi":"10.21700/ijcis.2016.126","title":"Application of FPTRNG and Logistic Map in Cryptography","year":2016,"lang":"en","type":"article","venue":"International Journal of Computing and Information Sciences","topic":"Chaos-based Image/Signal Encryption","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Cryptography; Computer science; Logistic map; Computer security; Encryption","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007281312,0.0003922222,0.0005139724,0.001383875,0.000612943,0.00106138,0.0005475393,0.0008786232,0.001913747],"category_scores_gemma":[0.002513627,0.0002094297,0.0006111676,0.001499509,0.001374937,0.001991666,0.001118633,0.001260937,0.0005725092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007170918,"about_ca_system_score_gemma":0.0007718053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007151261,"about_ca_topic_score_gemma":0.0003026279,"domain_scores_codex":[0.9992496,0.0002627094,0.00004592063,0.0001101443,0.0002545409,0.00007708387],"domain_scores_gemma":[0.9992185,0.0003575122,0.0000530397,0.0001894117,0.0001474216,0.00003417349],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002561228,0.00008207047,0.001759513,0.0004037178,0.00006801163,0.0007419022,0.0003824912,0.07079025,0.01937111,0.6604348,0.003061982,0.2426481],"study_design_scores_gemma":[0.00003550686,0.0001793896,0.000776457,0.00008109887,0.00004527218,0.001837352,0.0001002011,0.5094231,0.01876386,0.4387348,0.02994098,0.00008187396],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06804784,0.01051607,0.8811937,0.0015073,0.0006236503,0.00009361783,0.00008817483,0.0005552598,0.03737444],"genre_scores_gemma":[0.8358256,0.006980234,0.1443099,0.0001550029,0.0004969442,0.00006364613,0.00008095753,0.00007449918,0.01201324],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001913747,"threshold_uncertainty_score":0.006402135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01401881519379929,"score_gpt":0.2918061923933357,"score_spread":0.2777873771995364,"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."}}