{"id":"W4402330842","doi":"10.1016/j.compeleceng.2024.109636","title":"BRAPTOR: An efficient method for instant asset-transfer and generic application in blockchain","year":2024,"lang":"en","type":"article","venue":"Computers & Electrical Engineering","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"Ministry of Higher Education, Malaysia","keywords":"Blockchain; Instant; Computer science; Asset (computer security); Transfer (computing); Computer security; Parallel computing; Chemistry; Food science","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":[0.0003887085,0.0001614851,0.000192093,0.0003840728,0.00005857138,0.0001005715,0.00043658,0.0001340578,2.229962e-7],"category_scores_gemma":[0.00001144853,0.0001645954,0.00004557833,0.00116381,0.00001535383,0.00005706133,0.00007711957,0.0002637898,0.000001224107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009726808,"about_ca_system_score_gemma":0.00003523013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001420796,"about_ca_topic_score_gemma":0.000004182773,"domain_scores_codex":[0.998715,0.00002279437,0.0002310027,0.0005937769,0.0001057882,0.0003316416],"domain_scores_gemma":[0.9993068,0.0002238716,0.00001149131,0.0003420176,0.00002430275,0.00009149341],"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":[0.000002811488,0.00007834993,0.00001617834,0.00005355614,0.00001319965,0.00000531723,0.0002100578,0.08077234,0.009193876,0.6289424,0.00002682704,0.2806851],"study_design_scores_gemma":[0.0001674197,0.00009078255,0.0002417734,0.00001591464,0.000005446886,0.00002573653,0.000001503292,0.992232,0.001670074,0.001492428,0.00386948,0.0001874744],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06119409,0.00125906,0.9359397,0.0004830394,0.00009614811,0.0004038533,0.000001935959,0.0006152091,0.000007007102],"genre_scores_gemma":[0.7206795,0.00001576912,0.2789944,0.00006894146,0.00003621665,0.0001867019,0.000002894706,0.00001415387,0.000001421829],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9114596,"threshold_uncertainty_score":0.6712004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007138646824011314,"score_gpt":0.240788758910178,"score_spread":0.2336501120861667,"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."}}