Comparative Analysis of the Socioeconomic and Regulatory E&P Scenarios in Mature Fields and Marginal Wells in Brazil, The United States and Canada
Bibliographic record
Abstract
Abstract Currently in Brazil it is observed that a limited number of companies holds the oil and gas market. Large national and international companies have enough structure to use only fields of greater profitability and abandon the mature fields. Canada and the USA, as the world’s largest oil and gas producers, have policies that assist small businesses by treating them differently. However, the Brazilian reality for these companies is different. Independent producers face several obstacles to development in this sector, including poor infrastructure, unfavorable environmental regulation and lack of incentive policy. In this context, proposals for improvements in regulation and management in the E & P sector are addressed in order to encourage the entry of independent producers in this industry, since these have a great interest in operating in this area, as well as investments in outflow and agility infrastructure in Environmental licensing.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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; a candidate call from one teacher head, not a consensus.
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".