{"id":"W2145570103","doi":"10.1007/11958239_15","title":"Discrete Logarithm Variants of VSH","year":2006,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Cryptographic Implementations and Security","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Bell (Canada)","funders":"","keywords":"Hash function; Modular exponentiation; Computer science; Discrete logarithm; Logarithm; Exponentiation; Reduction (mathematics); Modular design; Algorithm; Arithmetic; Mathematics; Public-key cryptography; Computer network; Computer security; Mathematical analysis; Programming language","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":[0.0006561306,0.0003669366,0.0004594605,0.000913244,0.0001867627,0.000270305,0.00246152,0.000198469,0.0000384474],"category_scores_gemma":[0.00002747644,0.0003365929,0.0001572602,0.0007789895,0.000679609,0.0004525104,0.001020067,0.0004461703,0.000008306258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009630389,"about_ca_system_score_gemma":0.0003534881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001654385,"about_ca_topic_score_gemma":0.0002344146,"domain_scores_codex":[0.9969324,0.00002717561,0.0006128901,0.001039319,0.0008829954,0.0005052274],"domain_scores_gemma":[0.9978794,0.00025524,0.0003388469,0.001199074,0.0002281239,0.00009933231],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000006151789,0.00009128959,0.0004541582,0.00008212202,0.00003080658,0.0001128447,0.001064611,0.01029935,0.0002179585,0.3702411,0.0002496266,0.6171499],"study_design_scores_gemma":[0.0006384267,0.0002983858,0.003208288,0.0003237312,0.00001939085,0.00007761447,3.095002e-7,0.3640539,0.0009314605,0.6258309,0.003636985,0.0009805778],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001222793,0.0001810775,0.9924702,0.0003398359,0.0009405561,0.0002714159,0.00002573383,0.00006864915,0.005580234],"genre_scores_gemma":[0.4001791,0.00003893144,0.598659,0.0005472866,0.0002864301,0.000007488777,0.00002226855,0.00002838523,0.000231142],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6161694,"threshold_uncertainty_score":0.9999086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01466409966067897,"score_gpt":0.2603615285825284,"score_spread":0.2456974289218494,"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."}}