{"id":"W2998305229","doi":"","title":"Pixel: Multi-signatures for Consensus","year":2019,"lang":"en","type":"preprint","venue":"IACR Cryptology ePrint Archive","topic":"Cognitive Computing and Networks","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Pixel; Artificial intelligence","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":[0.002313861,0.0009288574,0.001484043,0.001167929,0.001816444,0.003785139,0.002116632,0.002327498,0.02073101],"category_scores_gemma":[0.007767182,0.0007207587,0.0007596203,0.0015629,0.001693013,0.00653324,0.006166966,0.003776947,0.009104125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001279583,"about_ca_system_score_gemma":0.001757511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004464643,"about_ca_topic_score_gemma":0.0005069014,"domain_scores_codex":[0.9967574,0.000937182,0.0002175217,0.0006912127,0.001031633,0.0003649834],"domain_scores_gemma":[0.9963549,0.001079838,0.0002116341,0.001530056,0.0005487822,0.0002747696],"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":[0.001544614,0.0001988693,0.0004423191,0.0004737908,0.00008855532,0.0001928165,0.0004063085,0.02988709,0.0128314,0.5275908,0.07191861,0.3544248],"study_design_scores_gemma":[0.0002397058,0.0002191393,0.000127006,0.00006853839,0.0000383501,0.0002137826,0.00009815368,0.2040094,0.02291107,0.7233136,0.04870395,0.0000573485],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008428439,0.0003593756,0.9654416,0.001233123,0.0005373058,0.0001336331,0.0005754355,0.009691083,0.01359994],"genre_scores_gemma":[0.4638575,0.0004329053,0.4833956,0.001203601,0.0006158716,0.0006263462,0.001872933,0.00279021,0.04520503],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02073101,"threshold_uncertainty_score":0.06935209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03905652924994913,"score_gpt":0.3048837393283281,"score_spread":0.265827210078379,"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."}}