{"id":"W2799052977","doi":"10.1109/icsess.2017.8342866","title":"Performance analysis of ethereum transactions in private blockchain","year":2017,"lang":"en","type":"article","venue":"","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":199,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Blockchain; Computer science; Block (permutation group theory); Block size; Computer security; Parallel computing; Operating system; Mathematics; Key (lock)","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":[0.0002450625,0.000057612,0.0001585805,0.0003016168,0.0001739538,0.0000239315,0.001161701,0.00007776142,0.000045566],"category_scores_gemma":[0.000007534641,0.00005215568,0.0000607134,0.0005774267,0.00009976529,0.00008286118,0.00006098633,0.0001125682,0.000004241608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001100459,"about_ca_system_score_gemma":0.00001517126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001543026,"about_ca_topic_score_gemma":0.000497313,"domain_scores_codex":[0.9994236,0.00001200813,0.0001708884,0.0001926895,0.00007864404,0.0001221955],"domain_scores_gemma":[0.9985942,0.00002149647,0.0001014633,0.001233176,0.00002874787,0.00002089901],"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":[0.000006733641,0.0004878789,0.1558687,0.00002330882,0.0004663534,0.000003248591,0.001420299,0.007341595,0.002859134,0.5285736,0.00001661452,0.3029325],"study_design_scores_gemma":[0.0001134985,0.0000149899,0.1995918,0.000003225734,0.00002844505,6.480007e-7,0.00001091958,0.7928632,0.005584753,0.001470781,0.0002469518,0.00007070458],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6743199,0.000008857766,0.3223958,0.001079574,0.00001635698,0.00005501751,0.000001092237,0.00005016746,0.002073287],"genre_scores_gemma":[0.9860893,0.00002003826,0.0136531,0.00002682251,0.000001799662,0.00002030503,2.460991e-7,0.000001757127,0.0001865779],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7855217,"threshold_uncertainty_score":0.2158749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01439864139091123,"score_gpt":0.2547948517640872,"score_spread":0.240396210373176,"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."}}