{"id":"W4413755894","doi":"10.14778/3718057.3718071","title":"Cabinet: Dynamically Weighted Consensus Made Fast","year":2025,"lang":"en","type":"article","venue":"Proceedings of the VLDB Endowment","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Concordia University","funders":"","keywords":"Cabinet (room); Consensus conference; Computer science; History; Library science; Archaeology","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":[0.0002149343,0.0001543283,0.0002285833,0.00007127457,0.000115139,0.0001067799,0.001296739,0.00005790061,0.000004579098],"category_scores_gemma":[0.00004228576,0.0001049994,0.0001101817,0.0006047031,0.00008190897,0.00009470677,0.000451714,0.0001323795,0.000009042058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008870204,"about_ca_system_score_gemma":0.00005800047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005939519,"about_ca_topic_score_gemma":0.000003253296,"domain_scores_codex":[0.9987016,0.000007963667,0.0003729438,0.0003249224,0.000318553,0.0002740471],"domain_scores_gemma":[0.999216,0.00003182383,0.0002014545,0.0002506595,0.0002464207,0.00005366249],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003604531,0.0002903267,0.005259174,0.0003153039,0.0001616574,0.000002557259,0.0005951272,0.00003953689,0.1140197,0.8262026,0.03400784,0.0190702],"study_design_scores_gemma":[0.007451844,0.000432121,0.06660543,0.002877838,0.0001916822,0.0001491709,0.001126796,0.2347395,0.4293128,0.08353107,0.1718404,0.001741322],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6503596,0.001125189,0.05093141,0.04387285,0.004037002,0.002851181,0.0001179845,0.0007096771,0.2459952],"genre_scores_gemma":[0.9922834,0.000008166343,0.00408646,0.0002998035,0.00002506058,0.00003955492,8.12755e-7,0.000005559173,0.003251171],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7426715,"threshold_uncertainty_score":0.4281752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004561944860713993,"score_gpt":0.2119563332243407,"score_spread":0.2073943883636268,"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."}}