{"id":"W2994061451","doi":"10.1007/978-3-030-35423-7_18","title":"On the Relationship Between Resilient Boolean Functions and Linear Branch Number of S-Boxes","year":2019,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Cryptographic Implementations and Security","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Boolean function; Branch predictor; Algorithm; Discrete mathematics; Arithmetic; Mathematics; Parallel computing","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001921533,0.00106135,0.001260898,0.002929919,0.001598865,0.003107041,0.001544161,0.001638046,0.009863952],"category_scores_gemma":[0.01179999,0.0007704748,0.001087848,0.002963022,0.005600498,0.007746669,0.002573896,0.005078813,0.001219421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002064251,"about_ca_system_score_gemma":0.0008495856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006568769,"about_ca_topic_score_gemma":0.0006131536,"domain_scores_codex":[0.998771,0.0003305095,0.00006580277,0.0002883256,0.0002975782,0.0002466965],"domain_scores_gemma":[0.9892656,0.008577433,0.0007374051,0.0008710515,0.0003166528,0.0002318819],"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":[0.0001740363,0.00002717765,0.0002945542,0.00008649239,0.00001667179,0.000066976,0.0001439315,0.009363803,0.001254181,0.963302,0.002969798,0.02230047],"study_design_scores_gemma":[0.00001501108,0.00003230174,0.0001968681,0.00003892174,0.00001808843,0.0001265335,0.00002444906,0.02072036,0.0008830216,0.9759745,0.001950278,0.00001960944],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2628286,0.007703478,0.4346802,0.006009677,0.001029464,0.000166741,0.0005995426,0.001471224,0.285511],"genre_scores_gemma":[0.9276178,0.00339989,0.04517798,0.0009771426,0.0008796477,0.0001564544,0.0002437576,0.0003073842,0.0212398],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009863952,"threshold_uncertainty_score":0.0329982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03580326931909544,"score_gpt":0.296841430551284,"score_spread":0.2610381612321886,"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."}}