{"id":"W4405360852","doi":"10.1109/msec.2024.3463915","title":"Threshold Signatures","year":2024,"lang":"en","type":"article","venue":"IEEE Security & Privacy","topic":"Cellular Automata and Applications","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science","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":[0.00220495,0.0009497427,0.001343295,0.002081764,0.001833715,0.005919781,0.001964852,0.002474537,0.01489021],"category_scores_gemma":[0.00940674,0.0005712545,0.001044421,0.003394505,0.003290608,0.01051658,0.004204353,0.003483793,0.009281714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001782422,"about_ca_system_score_gemma":0.001808375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004272348,"about_ca_topic_score_gemma":0.0003987232,"domain_scores_codex":[0.9932671,0.001176866,0.0005978193,0.001085268,0.003153853,0.0007191579],"domain_scores_gemma":[0.9934785,0.001787706,0.0007570339,0.002402008,0.001291071,0.0002837361],"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":[0.0002120181,0.00007246989,0.000508476,0.0005691114,0.00004497364,0.0002447511,0.0003350178,0.004246826,0.009336254,0.8145198,0.02182312,0.1480871],"study_design_scores_gemma":[0.00006427953,0.0002251777,0.0002808533,0.0003334074,0.00005110911,0.001974067,0.0002308625,0.02191539,0.02981904,0.58977,0.3552178,0.0001180209],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01349348,0.007788884,0.8858383,0.002896292,0.001982774,0.0004718281,0.001363352,0.002968511,0.08319649],"genre_scores_gemma":[0.5153627,0.01720924,0.3583627,0.0040158,0.00237085,0.0009259671,0.003720972,0.0008599064,0.09717187],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01489021,"threshold_uncertainty_score":0.04981273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01410688600325958,"score_gpt":0.2668389478152686,"score_spread":0.252732061812009,"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."}}