{"id":"W3210231509","doi":"10.23977/acss.2021.050116","title":"Parallel HAIFA Hashing Algorithm Based on Lorenz Chaos","year":2021,"lang":"en","type":"article","venue":"Advances in Computer Signals and Systems","topic":"Chaos-based Image/Signal Encryption","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hash function; Computer science; Double hashing; Cryptographic hash function; Rolling hash; Algorithm; MDC-2; CHAOS (operating system); Perfect hash function; SHA-2; Parallel computing; Cryptography; Theoretical computer science","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":[0.0004700646,0.0004453778,0.0006788339,0.001254651,0.0008693376,0.0007478512,0.0008332721,0.0005114536,0.002450051],"category_scores_gemma":[0.001239517,0.0002961352,0.0006667135,0.0008804296,0.0005928826,0.001655726,0.0009103357,0.0004397109,0.0007364278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006858141,"about_ca_system_score_gemma":0.001363476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002132741,"about_ca_topic_score_gemma":0.001101333,"domain_scores_codex":[0.9994521,0.00007076895,0.00004273394,0.0001073719,0.0002640603,0.00006304618],"domain_scores_gemma":[0.9995192,0.00007547759,0.00005859775,0.0001163048,0.0001955128,0.00003489235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001043082,0.0001926507,0.006142778,0.0004742237,0.0002574681,0.0005064828,0.0005340395,0.2119348,0.0936775,0.09985458,0.007889812,0.5774926],"study_design_scores_gemma":[0.0001605163,0.0003771439,0.001642994,0.00002275854,0.00007861778,0.001096278,0.00008296189,0.9012355,0.04921038,0.02845285,0.0175247,0.0001153245],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06575374,0.0008560925,0.9226757,0.0002310067,0.000195591,0.0002289632,0.0001545229,0.001398124,0.008506386],"genre_scores_gemma":[0.6918733,0.0006739745,0.2988502,0.00009817495,0.0001568637,0.0002669818,0.0003473117,0.00008878389,0.00764447],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002450051,"threshold_uncertainty_score":0.008196235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01693963951106101,"score_gpt":0.2601476479360223,"score_spread":0.2432080084249613,"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."}}