{"id":"W3029154524","doi":"","title":"Watch your Constants: Malicious Streebog.","year":2014,"lang":"en","type":"preprint","venue":"IACR Cryptology ePrint Archive","topic":"Cryptographic Implementations and Security","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Hash function; SHA-2; Collision attack; Computer science; Checksum; Cryptographic hash function; GOST (hash function); Hash chain; Computer security; Function (biology); Collision; Context (archaeology); MD5; Collision resistance; Theoretical computer science; Double hashing; Operating system","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":[0.001285297,0.0006708743,0.0004677222,0.0005776326,0.00152809,0.001635932,0.0008854509,0.00152149,0.01943349],"category_scores_gemma":[0.00645339,0.0003962188,0.0003679086,0.0005222632,0.00172352,0.003544251,0.002988021,0.001714571,0.005929107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008266065,"about_ca_system_score_gemma":0.0006890177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009243424,"about_ca_topic_score_gemma":0.000914985,"domain_scores_codex":[0.9984561,0.0003447613,0.00004843316,0.0001960344,0.000708096,0.0002465035],"domain_scores_gemma":[0.9979897,0.0006166507,0.0001792671,0.0007745877,0.0002776636,0.0001620926],"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":[0.003732055,0.0002284512,0.008705652,0.0004847743,0.0001627929,0.003196874,0.003405944,0.01043747,0.03564719,0.5400146,0.1041332,0.2898511],"study_design_scores_gemma":[0.0002331055,0.001022155,0.003325707,0.0003319093,0.0001553946,0.005791818,0.001160746,0.1215126,0.1173702,0.2074845,0.5413778,0.0002339409],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2649502,0.005210377,0.484719,0.01343558,0.003177788,0.0006638814,0.001389612,0.0169293,0.2095242],"genre_scores_gemma":[0.8836326,0.0006411374,0.03998113,0.001419498,0.000174264,0.00009674078,0.0005247098,0.0008427206,0.07268725],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01943349,"threshold_uncertainty_score":0.0650115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02626646310971786,"score_gpt":0.303982045346663,"score_spread":0.2777155822369451,"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."}}