{"id":"W3203234318","doi":"","title":"BOREALIS: Building Block for Sealed Bid Auctions on Blockchains","year":2019,"lang":"en","type":"preprint","venue":"IACR Cryptology ePrint Archive","topic":"Cryptography and Data Security","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Homomorphic encryption; Computer science; Secure multi-party computation; Encryption; Theoretical computer science; Cryptography; Integer (computer science); Ciphertext; ElGamal encryption; Computation; Symmetric-key algorithm; Computer security; Public-key cryptography; Algorithm","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005720084,0.0006860661,0.000900695,0.0008589217,0.0004118473,0.0002186846,0.002965654,0.0005661712,0.00001731366],"category_scores_gemma":[0.0002472233,0.0007025696,0.0007638754,0.0003407632,0.0003386909,0.0001332517,0.003775004,0.001631037,0.00007857224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009739467,"about_ca_system_score_gemma":0.0003687385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001470613,"about_ca_topic_score_gemma":0.000278809,"domain_scores_codex":[0.9955691,0.0003425994,0.0007044867,0.002050495,0.0003688508,0.0009645399],"domain_scores_gemma":[0.9947432,0.001227456,0.0004981078,0.003056251,0.0001838112,0.0002911827],"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":[0.00009415294,0.0002636463,0.0005045795,0.0001492284,0.0002681996,0.00002382987,0.001082616,0.005463146,0.0003004388,0.9831698,0.006099482,0.002580908],"study_design_scores_gemma":[0.0008535399,0.0002757391,0.002689947,0.0001843457,0.00007723794,0.00006555241,0.00005744323,0.02839449,0.0009179641,0.9344265,0.03126788,0.0007893897],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02008929,0.0001161956,0.965274,0.003564414,0.002885432,0.0018127,0.002066478,0.0005694722,0.003621974],"genre_scores_gemma":[0.05654683,0.0001609699,0.9402171,0.0009784675,0.0006141759,0.0007562631,0.0006593944,0.00006375196,0.000003009418],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0487433,"threshold_uncertainty_score":0.9995425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.023148517385478,"score_gpt":0.2904831080331036,"score_spread":0.2673345906476256,"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."}}