{"id":"W3047765754","doi":"10.1109/dsn-s50200.2020.00028","title":"SIMBA: An Efficient Simulator for Blockchain Applications","year":2020,"lang":"en","type":"article","venue":"","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"New York Institute of Technology","funders":"","keywords":"Blockchain; Computer science; Block (permutation group theory); Node (physics); Network simulation; Reduction (mathematics); Tree (set theory); Simulation; Distributed computing; Computer security; Engineering","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":[0.0001291719,0.0001015459,0.0001166655,0.00004141347,0.0002171317,0.00004272522,0.0009753171,0.00009409388,0.000009556025],"category_scores_gemma":[0.00002232229,0.00009467904,0.00005279715,0.000448843,0.00004922568,0.0000206191,0.0001604826,0.00009279355,0.00004003181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001319228,"about_ca_system_score_gemma":0.00003372375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002258411,"about_ca_topic_score_gemma":0.000002582541,"domain_scores_codex":[0.9990339,0.00001306042,0.0001743054,0.0004737795,0.00009765475,0.0002073302],"domain_scores_gemma":[0.9989892,0.00007796919,0.00004704431,0.0006351273,0.00009091668,0.0001597451],"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":[0.000001769208,0.0001240403,0.00001804165,0.00000729046,0.000005675813,2.077776e-7,0.00020805,0.010683,0.0004560201,0.9729953,0.0003087973,0.01519179],"study_design_scores_gemma":[0.000206106,0.00008111785,0.00002096041,5.258803e-7,0.000003617842,0.000001013344,0.00003599277,0.9381825,0.002453784,0.01009117,0.04880149,0.000121714],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01660245,0.0000428955,0.9691153,0.01210917,0.00001875178,0.0008290478,0.000006077252,0.0008982972,0.0003780666],"genre_scores_gemma":[0.8842225,5.592972e-7,0.1130288,0.002085547,0.00006519644,0.0005459132,0.000003277342,0.000007419151,0.00004075222],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9629042,"threshold_uncertainty_score":0.3860899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0190813906941879,"score_gpt":0.2607804674458846,"score_spread":0.2416990767516967,"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."}}