Web-based atlas to facilitate marine renewable energy site selection in western Canada
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
A web-based Marine Energy Resource Atlas was developed to assist marine renewable energy stakeholders with preliminary site selection and feasibility investigations in the rivers and coastal waters in western Canada. The Atlas offers a clean and simple interface through which users are able to interact with the underlying geospatial data and customize investigations to fit their specific design and development criteria. The Atlas represents a uniquely flexible and accessible decision support system that can be operated online via a web browser and does not require any specialized geographic information system software. As such, the Atlas is an effective tool to quickly investigate multiple scenarios with different resource, socio-economic, and environmental criteria. Resulting hotspot delineations are visualized in the web browser and are updated in real-time in response to user-interaction and criteria adjustments. It is anticipated that the flexibility and ease-of-use of the Atlas will facilitate site selection and ultimately contribute to well-informed marine renewable energy resource management. Additionally, the Atlas represents the first tool to offer decision support capabilities for tidal, wave, and river hydrokinetic resources under a common system and interface.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 it