{"id":"W2949987681","doi":"","title":"Generalized mix functions and orthogonal equitable rectangles.","year":2007,"lang":"en","type":"preprint","venue":"IACR Cryptology ePrint Archive","topic":"Coding theory and cryptography","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Generalization; Block cipher; Simple (philosophy); Mathematics; Computer science; Context (archaeology); Cryptography; Symmetric-key algorithm; Block (permutation group theory); Construct (python library); Discrete mathematics; Combinatorics; Encryption; Algorithm; Public-key cryptography","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":[0.001164878,0.0005248917,0.000668,0.0006958251,0.0004482902,0.0002021257,0.001415628,0.0004346467,0.00008376777],"category_scores_gemma":[0.00009489698,0.0005342039,0.0003656345,0.0003544562,0.0006075168,0.0001521769,0.005763835,0.001401569,0.00008413891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000569784,"about_ca_system_score_gemma":0.0002427144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004124572,"about_ca_topic_score_gemma":0.0001604333,"domain_scores_codex":[0.9962441,0.0005029853,0.0005763091,0.001441051,0.000291678,0.0009439333],"domain_scores_gemma":[0.9971746,0.0006738218,0.0003061326,0.001426742,0.0001147997,0.0003039494],"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":[0.00009347681,0.00009569169,0.003090729,0.00004861399,0.0001996771,0.00009394412,0.0009137451,0.0001761452,0.0006764529,0.9701011,0.001082799,0.02342762],"study_design_scores_gemma":[0.0004859277,0.0001052476,0.005396868,0.00007145016,0.00005841765,0.000191449,0.0000580899,0.002159154,0.0002443094,0.9826887,0.007965993,0.0005743501],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1454204,0.0009104319,0.8379332,0.0008092592,0.001733892,0.0003731225,0.00004764609,0.0004198113,0.01235223],"genre_scores_gemma":[0.1339573,0.0004002638,0.8639694,0.0008153598,0.0004443168,0.0002062288,0.0001079984,0.00005444994,0.0000445934],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02603628,"threshold_uncertainty_score":0.999711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0233944121876038,"score_gpt":0.2677684308100168,"score_spread":0.244374018622413,"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."}}