Deep geothermal resources in Quebec and in Colombia: An area that may develop based on French experience on geothermal power plants [Les ressources géothermiques profondes au Québec et en Colombie : un secteur don't le développement pourrait s'inspirer des centrales géothermiques en France]
Bibliographic record
Abstract
Because of an increasing demand in electricity and a necessity of reducing greenhouse gas emissions, several countries envisage the development of the renewable energies. The geothermal energy is a particularly interesting alternative because it allows a production of electricity which is not influenced by weather conditions and it requires relatively restricted surface areas compared, for example, to the area required by a hydroelectric power plant. The literature review presented here summarizes the main characteristics of the geothermal potential in Quebec, in sedimentary basins, and in Colombia, in the area of the Nevado del Ruiz volcanic complex. Currently, in these two regions, the hydro-electric power dominates the electricity production, but there is a similar interest to the development of geothermal power plants. The French sites of Soultz-sous-Forêts in Alsace and Boiling in Guadeloupe are respectively presented as an example of exploitation of geothermal improved systems (Enhanced Geothermal System; EGS) and geothermal resources in volcanic regions. The first site constitutes a model for the future development of the deep geothermal exploitation in Quebec, whereas the second is an example for Colombia. A description of environmental impacts related to the exploitation of deep geothermal resources is presented at the end of this paper.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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 source (direct Gemma or distilled Codex), 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".