{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005769908,0.0006205645,0.0008529755,0.0003923954,0.0003255236,0.0002668021,0.002666499,0.0003901132,0.0001530868],"category_scores_gemma":[0.000097648,0.0006216682,0.0004294271,0.0003296808,0.0005933425,0.000128463,0.004768406,0.001459949,0.0002162461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007071174,"about_ca_system_score_gemma":0.0003302418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005743027,"about_ca_topic_score_gemma":0.0008602223,"domain_scores_codex":[0.9956424,0.0005666603,0.00090288,0.001521176,0.0004413638,0.0009255854],"domain_scores_gemma":[0.9962669,0.0004707899,0.0005333343,0.00225422,0.0001900124,0.0002847516],"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":[0.00001663674,0.000127081,0.005182409,0.00006516268,0.0001801607,0.00009002229,0.003993439,0.0001826523,0.0001271072,0.9752148,0.002664546,0.01215594],"study_design_scores_gemma":[0.000673661,0.0001046886,0.006520669,0.00006846996,0.00004696405,0.0001142976,0.000234892,0.009457427,0.0002136164,0.9682071,0.01367267,0.0006855557],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1104633,0.00007227554,0.8750182,0.005484956,0.001579024,0.0006869397,0.0001617443,0.0003903091,0.006143185],"genre_scores_gemma":[0.4952862,0.0001572159,0.5030515,0.0008893247,0.00020872,0.0002064682,0.000160985,0.00003557879,0.000003930045],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3848229,"threshold_uncertainty_score":0.9996235,"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."}}