Canadian Integrated Ocean Observing System: Cyberinfrastructure Investigative Evaluation
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
Numerous countries have employed a coordinated network of government agencies, research institutions, and private companies to establish national integrated Ocean Observing Systems (OOSes). Although Canada boasts a robust and diverse ocean economy, the country has implemented no such network. To better adapt in the face of a changing environment and to assist the country in meeting national and international commitments, Fisheries and Oceans Canada (DFO) has commissioned investigative evaluations (IEs) to determine the cost and feasibility of creating a Canadian Integrated Ocean Observing System (CIOOS). This report contains the recommendations of the Cyberinfrastructure IE, and outlines three models, low, moderate and high, with varying levels of service. To determine an appropriate cyberinfrastructure configuration for CIOOS, information was gathered from both national and international sources. Systems and standards were evaluated, stakeholders surveyed, and existing international OOSes consulted to identify potential limits or gaps to the implementation of CIOOS.
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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 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