{"id":"W4410134390","doi":"10.1007/978-3-031-91826-1_8","title":"Dazzle: Improved Adaptive Threshold Signatures from DDH","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Cryptography and Data Security","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Artificial intelligence; Computer vision","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":[0.0007841865,0.0007970807,0.00128326,0.0009631013,0.0007309219,0.001740096,0.001754868,0.001054108,0.01106269],"category_scores_gemma":[0.002415308,0.0004424312,0.0005142819,0.001344237,0.0008693794,0.002923543,0.003930801,0.002457861,0.005613423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008090286,"about_ca_system_score_gemma":0.0009612875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002992387,"about_ca_topic_score_gemma":0.0003607088,"domain_scores_codex":[0.998325,0.0002170128,0.0001036859,0.0002778782,0.0008931495,0.000183253],"domain_scores_gemma":[0.9988626,0.000215253,0.0000676033,0.0005917819,0.0001855271,0.00007716167],"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":[0.001442632,0.0002367529,0.0004450969,0.0004168323,0.00008337211,0.0001933419,0.0002150655,0.01713807,0.06459408,0.1506896,0.03792211,0.7266231],"study_design_scores_gemma":[0.0004960516,0.0008466613,0.0009373331,0.0001391376,0.0001213003,0.001658903,0.0001240672,0.3200142,0.1602427,0.3253677,0.1898227,0.0002292322],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02365106,0.001463307,0.942289,0.0008260109,0.001154562,0.0002498914,0.0007633821,0.01192645,0.01767636],"genre_scores_gemma":[0.3991015,0.0009827686,0.5320165,0.001207151,0.0007708346,0.0003938988,0.002345434,0.00171327,0.06146861],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01106269,"threshold_uncertainty_score":0.03700835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01247158349038544,"score_gpt":0.2324041790538847,"score_spread":0.2199325955634993,"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."}}