{"id":"W2104513950","doi":"10.1109/tit.2008.921887","title":"Some Improved Bounds for Secure Frameproof Codes and Related Separating Hash Families","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Information Theory","topic":"Advanced Steganography and Watermarking Techniques","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Hash function; Type (biology); Discrete mathematics; Mathematics; Probabilistic logic; Combinatorics; Theoretical computer science; Perfect hash function; Computer science; Cryptographic hash function; Statistics; Computer security","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":[0.00789462,0.002677977,0.002282906,0.005798998,0.002627659,0.004282993,0.003009611,0.003224009,0.01705998],"category_scores_gemma":[0.0670858,0.001612457,0.002872876,0.003753088,0.005914903,0.01404195,0.00639524,0.009223382,0.003476345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006469056,"about_ca_system_score_gemma":0.002892414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002271845,"about_ca_topic_score_gemma":0.001796752,"domain_scores_codex":[0.9902264,0.002325664,0.0005311525,0.001296308,0.003781319,0.001839123],"domain_scores_gemma":[0.9378693,0.04346075,0.003568843,0.006162492,0.007143872,0.001794689],"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":[0.0007206231,0.000186054,0.00136479,0.0006261485,0.0001099312,0.0004279258,0.000803477,0.06714252,0.01176111,0.8581905,0.009218909,0.04944788],"study_design_scores_gemma":[0.0000783546,0.000224189,0.0008947178,0.0003356803,0.0001469547,0.0005221695,0.0002583646,0.2583027,0.01470612,0.7141294,0.01018037,0.0002210488],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07210323,0.003793584,0.8702205,0.002649622,0.0004898209,0.0002830279,0.001373416,0.001162861,0.04792398],"genre_scores_gemma":[0.7379865,0.005025709,0.2337131,0.001369508,0.001509475,0.001256406,0.001878904,0.0009449892,0.01631537],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01705998,"threshold_uncertainty_score":0.05707133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008902227644974814,"score_gpt":0.2328551649717848,"score_spread":0.22395293732681,"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."}}