{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001339376,0.0001172367,0.00009527025,0.00008161936,0.0001028149,0.0004570184,0.00112833,0.00006791366,0.00004180827],"category_scores_gemma":[0.000008572759,0.0001065027,0.00009499234,0.0004515928,0.00003316689,0.0004166928,0.0002281603,0.0002449933,0.0005844672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002463906,"about_ca_system_score_gemma":0.00006825221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001422044,"about_ca_topic_score_gemma":0.000003802389,"domain_scores_codex":[0.9989897,0.00001621444,0.0001425385,0.0004091052,0.0002189998,0.000223468],"domain_scores_gemma":[0.9990364,0.00005922505,0.0000184727,0.0007776596,0.00002486435,0.00008339137],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001084489,0.0001091316,0.00003132044,0.00007459684,0.00003681307,0.0001016427,0.003627194,0.00003626677,0.02148501,0.8660696,0.08155031,0.02687702],"study_design_scores_gemma":[0.0001168689,0.00002702178,0.0002648064,0.00005314399,0.00001334648,0.00003342072,0.000008889496,0.1730044,0.04568176,0.2343235,0.5461355,0.0003372832],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2992001,0.01076379,0.6427209,0.01401252,0.002979189,0.0006742335,0.00002603666,0.004366833,0.02525642],"genre_scores_gemma":[0.9968547,0.00004436991,0.002247373,0.0003320363,0.0001869316,0.00002351496,0.000005341986,0.00001082584,0.0002948938],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6976547,"threshold_uncertainty_score":0.7512338,"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."}}