{"id":"W7111538934","doi":"","title":"an evaluation of the role played by different government regulations","year":2023,"lang":"en","type":"dissertation","venue":"Universidade Nova de Lisboa's Repository (Universidade Nova de Lisboa)","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cryptocurrency; Government (linguistics); Database transaction; Currency; Virtual currency; Focus (optics); European union","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0007823519,0.0006880684,0.0006562822,0.0005951469,0.000981419,0.0002392282,0.004045009,0.0014015,0.0001003908],"category_scores_gemma":[0.00008852913,0.0007203653,0.0004522772,0.00209458,0.0002681645,0.0006908683,0.0004651049,0.001262052,0.00001823672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002413795,"about_ca_system_score_gemma":0.0009212451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001035186,"about_ca_topic_score_gemma":0.0007910624,"domain_scores_codex":[0.9944531,0.0006117573,0.000671598,0.001329099,0.002128309,0.0008061454],"domain_scores_gemma":[0.9947546,0.0002206196,0.001203192,0.002770385,0.0007526195,0.0002985776],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005521984,0.003435789,0.0112127,0.0004876541,0.002117898,0.0001691873,0.03412642,0.006429694,0.6423544,0.2098248,0.04459814,0.04469116],"study_design_scores_gemma":[0.005564389,0.0007522153,0.185673,0.0008865763,0.002976099,0.0001847237,0.04832565,0.2847237,0.4346031,0.0173778,0.01530076,0.003631983],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9690096,0.000329279,0.00635217,0.001339173,0.001526436,0.001574763,0.0001818961,0.0007481238,0.01893854],"genre_scores_gemma":[0.9887998,0.00003407601,0.001503793,0.00007815087,0.0001402335,0.00003982204,0.0003782523,0.00009159357,0.008934262],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.278294,"threshold_uncertainty_score":0.9998949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01295351568179406,"score_gpt":0.245692883021943,"score_spread":0.2327393673401489,"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."}}