APLICABILIDADE DA LEGISLAÇÃO DE COMBATE À LAVAGEM DE DINHEIRO AO BITCOIN.
Bibliographic record
Abstract
O objeto do presente artigo e verificar a possibilidade de aplicacao do atual cenario regulatorio, sob o prisma do combate a pratica de crimes de lavagem de dinheiro, ao bitcoin. Para tanto, sao analisados, a partir de pesquisa qualitativa e exploratoria, os marcos regulatorios do ordenamento juridico estado-unidense, bem como as propostas do sistema da Uniao Europeia e do GAFI, alem dos caminhos adotados por Australia, Canada e Japao, no afa de adequadamente regular a materia, cujos desafios se agigantam em razao das especificidades, tratadas no texto, que fazem do bitcoin uma ferramenta de movimentacao de valores, em escala global, tao efetiva. Alem disso, o quadro legislativo nacional e tambem estudado.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.004 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".