{"id":"W6891621332","doi":"10.4230/oasics.fab.2021.4","title":"TimeFabric: Trusted Time for Permissioned Blockchains","year":2021,"lang":"en","type":"article","venue":"DROPS (Schloss Dagstuhl – Leibniz Center for Informatics)","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Timestamp; Database transaction; Overhead (engineering); Popularity; Cache; Blockchain; Throughput","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":[0.0021759,0.0006149116,0.0005707845,0.0008098153,0.001403725,0.00247891,0.001772778,0.001153136,0.01488504],"category_scores_gemma":[0.009745211,0.0005362396,0.0004044042,0.0008201711,0.001779242,0.005680755,0.003577515,0.001959646,0.003097087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001101309,"about_ca_system_score_gemma":0.002355424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002635957,"about_ca_topic_score_gemma":0.002137963,"domain_scores_codex":[0.9966583,0.0007270352,0.0001890153,0.0003368477,0.001625974,0.0004628122],"domain_scores_gemma":[0.9943715,0.001465906,0.0004643415,0.00240491,0.0008457558,0.0004476816],"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":[0.002560657,0.000290587,0.003665776,0.0007879991,0.0000805087,0.00145113,0.00168765,0.07202958,0.06552985,0.4230318,0.02995751,0.398927],"study_design_scores_gemma":[0.0003651052,0.0005552539,0.0007120245,0.0002412472,0.00005580843,0.0008997889,0.0002805714,0.5961891,0.1016183,0.1506054,0.1483094,0.0001681427],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0413954,0.0007712934,0.9163098,0.0007414139,0.0003207927,0.000428595,0.0003993046,0.02063975,0.01899371],"genre_scores_gemma":[0.7897252,0.0006833422,0.1902591,0.0001916474,0.0001712556,0.0003394009,0.0006984592,0.001731166,0.0162004],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01488504,"threshold_uncertainty_score":0.04979539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01121591023393957,"score_gpt":0.2473939534718787,"score_spread":0.2361780432379391,"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."}}