The Seaformatics technology demonstration project
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
Memorial University of Newfoundland has completed a project entitled the Ocean Network Seafloor Instrumentation (later renamed Seaformatics Project), which began in 2007 and was funded by the Atlantic Canada Opportunities Agency (ACOA) - Atlantic Innovation Fund (AIF) and a number of other organizations. The concept behind Seaformatics was to develop technologies to enable the long-term deployment of an array of seafloor-mounted ocean sensors. The prototype node - called a Seaformatics Pod - has been successfully tested in Memorial University's Marine Institute flume tank and was field tested in Conception Bay in 2012. The project team proposed to perform a long term trial in Placentia Bay in partnership with Husky Energy. The project will provide much-needed data on the reliability of the Seaformatics Pod platform and prove that the Seaformatics Pod is capable of delivering ocean sensor data for other applications of interest to industry users. For Memorial University, success will result in a Seaformatics Pod prototype that is market-ready, which will in turn better enable the University to commercialize the technology for the global marketplace. This paper describes the 2nd generation pod prototype in detail, gives an overview of the demonstration projects goals and presents the preliminary results of the field program.
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