{"id":"W4289533977","doi":"10.1109/icde53745.2022.00190","title":"vChain+: Optimizing Verifiable Blockchain Boolean Range Queries","year":2022,"lang":"en","type":"article","venue":"2022 IEEE 38th International Conference on Data Engineering (ICDE)","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":86,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Verifiable secret sharing; Blockchain; Robustness (evolution); Query optimization; Hash function; Merkle tree; Data mining; Database; Theoretical computer science; Computer security; Cryptographic hash function","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":[0.000651409,0.0002563065,0.0002299505,0.0003616853,0.0003378889,0.0001890842,0.0051829,0.00008118543,0.0006764887],"category_scores_gemma":[0.00007660039,0.0002988658,0.000056911,0.0004791821,0.00005511103,0.0002891133,0.002020805,0.0007645322,0.00005201801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001866687,"about_ca_system_score_gemma":0.0001079859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007901131,"about_ca_topic_score_gemma":0.00001250729,"domain_scores_codex":[0.9977519,0.00005073241,0.000351043,0.0008317933,0.0006283622,0.0003861742],"domain_scores_gemma":[0.99776,0.0000843523,0.0001350664,0.001830318,0.00009278608,0.00009745284],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002462737,0.0001972914,0.00006054811,0.00001808435,0.0001145503,0.00005394217,0.0004362548,0.05457608,0.002981321,0.9239119,0.01269832,0.004927143],"study_design_scores_gemma":[0.0003261336,0.00008144695,0.00003772131,0.00001837536,0.000006295425,0.00004207109,0.000149997,0.9249269,0.000801786,0.001521141,0.07176044,0.0003277102],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03081194,0.0003512703,0.9392006,0.01361888,0.005003851,0.0007547506,0.001638323,0.001930564,0.006689779],"genre_scores_gemma":[0.9675581,0.00008563651,0.02985128,0.0005297444,0.0001744235,0.0002893488,0.0003910559,0.0000369526,0.001083469],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9367461,"threshold_uncertainty_score":0.9999464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04207685850820307,"score_gpt":0.2629730858270787,"score_spread":0.2208962273188756,"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."}}