{"id":"W2989920152","doi":"10.1016/j.bcra.2020.100001","title":"Application and evaluation of payment channel in hybrid decentralized ethereum token exchange","year":2020,"lang":"en","type":"article","venue":"Blockchain Research and Applications","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Security token; Database transaction; Payment; Computer science; Computer network; Computer security; Latency (audio); Channel (broadcasting); Business; Finance; Database; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001992289,0.0001184755,0.0001879606,0.0002179767,0.0001954947,0.00004075976,0.0005422962,0.00009361361,0.000008064247],"category_scores_gemma":[0.00006948013,0.0001195055,0.00002092428,0.001049458,0.0002504643,0.00005577324,0.0003949462,0.0002799608,0.000007596137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004634491,"about_ca_system_score_gemma":0.00008376051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001036542,"about_ca_topic_score_gemma":0.00004119566,"domain_scores_codex":[0.9980536,0.0001966359,0.000308658,0.0005762817,0.0005349641,0.0003299231],"domain_scores_gemma":[0.9986683,0.0001683864,0.00008945949,0.0005368611,0.0003528527,0.0001841094],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002971151,0.0006003777,0.001714367,0.0001818657,0.00003171085,0.000001264112,0.002215217,0.0001614341,0.006000465,0.4299623,0.0006097219,0.5584915],"study_design_scores_gemma":[0.001945166,0.0002244595,0.006537829,0.00002862635,0.00001634749,0.00001072884,0.0005490942,0.7463848,0.009758167,0.2171792,0.01706096,0.000304672],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4655571,0.006839215,0.4806427,0.03990434,0.00001430041,0.00600988,0.0000458068,0.0002197016,0.0007669795],"genre_scores_gemma":[0.9937342,0.0006380141,0.002252375,0.0001288805,0.00003247703,0.003185218,0.00001176268,0.000008582653,0.000008517984],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7462233,"threshold_uncertainty_score":0.4873291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07459434297647494,"score_gpt":0.3498433673205063,"score_spread":0.2752490243440314,"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."}}