{"id":"W3171474712","doi":"10.1145/3406325.3451133","title":"Efficient randomized DCAS","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Agence Nationale de la Recherche","keywords":"Swap (finance); Computer science; Randomized algorithm; Random number generation; Bipartite graph; Theoretical computer science; Synchronization (alternating current); Algorithm; Mathematics; Combinatorics; Topology (electrical circuits)","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":[0.0009365719,0.0002732769,0.0009600265,0.00006801182,0.00006464328,0.0008376203,0.001338906,0.0002258117,0.00007805123],"category_scores_gemma":[0.0001048553,0.0002126762,0.0004916608,0.0002115192,0.00005289747,0.00003876613,0.001997178,0.0003882232,0.00008742479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005338366,"about_ca_system_score_gemma":0.000245816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001789425,"about_ca_topic_score_gemma":0.000006616078,"domain_scores_codex":[0.9976153,0.0002772431,0.0005492886,0.0008166775,0.0004464017,0.0002951382],"domain_scores_gemma":[0.9978303,0.0001511376,0.0002177657,0.001454395,0.0002286308,0.0001177338],"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":[0.001400067,0.0007734667,0.0000242694,0.0008117715,0.0007809984,0.0007265788,0.004053193,0.2226904,0.0001727772,0.7188599,0.0183177,0.03138889],"study_design_scores_gemma":[0.02418874,0.000004142626,0.00002207872,0.0002188194,0.00001701394,0.00002117418,0.00003333908,0.9712361,0.0001707142,0.0008561763,0.002834921,0.0003967595],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005969093,0.001473883,0.9518952,0.0007604425,0.003129262,0.0005615674,0.00000905018,0.0003320629,0.03586938],"genre_scores_gemma":[0.9511016,0.00003151907,0.0455429,0.0003545748,0.0001481003,0.000172671,0.00003932174,0.00001261367,0.002596689],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9451325,"threshold_uncertainty_score":0.8672685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01301058774227874,"score_gpt":0.2476739326137474,"score_spread":0.2346633448714686,"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."}}