{"id":"W4414586968","doi":"10.48550/arxiv.2505.19708","title":"Private MEV Protection RPCs: Benchmark Stud","year":2025,"lang":"en","type":"preprint","venue":"ArXiv.org","topic":"Plasma Diagnostics and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Air (Canada)","funders":"","keywords":"Database transaction; Benchmark (surveying); Order (exchange); Supply chain; Common value auction; Transaction data","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":[0.004950142,0.0009962901,0.0008230104,0.002121723,0.0008895649,0.002945703,0.00199294,0.001548448,0.01494473],"category_scores_gemma":[0.02738166,0.0003522001,0.0006409584,0.002526836,0.001253992,0.003845642,0.001793939,0.002147588,0.002895806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002420056,"about_ca_system_score_gemma":0.001387494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004897996,"about_ca_topic_score_gemma":0.004798609,"domain_scores_codex":[0.9954965,0.001429753,0.0002586372,0.0006258911,0.001386606,0.000802724],"domain_scores_gemma":[0.9708809,0.01525956,0.002061805,0.005839081,0.004740552,0.001218154],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.006232367,0.004689226,0.0510793,0.001328377,0.0004754378,0.000965612,0.0004803086,0.5251915,0.005439139,0.1568295,0.1087445,0.1385447],"study_design_scores_gemma":[0.0008814649,0.002427454,0.02853506,0.0001956416,0.0001701369,0.0007470227,0.001476057,0.831572,0.01175388,0.07175425,0.05037186,0.0001151707],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8878348,0.002114995,0.02078557,0.001220872,0.0002172835,0.0003758951,0.01001789,0.00124572,0.07618691],"genre_scores_gemma":[0.9760303,0.000391012,0.008829264,0.000123007,0.00007649093,0.0001214439,0.006743165,0.0002560192,0.00742933],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01494473,"threshold_uncertainty_score":0.04999512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02841868178383693,"score_gpt":0.2430253293515441,"score_spread":0.2146066475677072,"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."}}