Technical Report of the Eastern Edge Robotics Team The Marine Institute of Memorial University 2007 MATE/MTS International Robotics Competition, Explorer Class
Bibliographic record
Abstract
This report describes the development of the ROV Bartlett, designed and fabricated by the Eastern Edge Robotics Team, Newfoundland & Labrador, Canada. Bartlett was purpose-built for use in the 2007 MATE/MTS International ROV Competition to perform three missions based on the 2007 International Polar Year (IPY) theme. Bartlett has a structural frame of 12.5-mm-thick Lexan™, six (6) orthogonally positioned thrusters providing motion in six degrees of freedom, three (3) tilting, hi-resolution cameras, four (4) variable intensity LED cluster lamps, a waterproof Lexan™ electronics housing and low-compressibility (690 kPa), H-100, “High-load” structural Styrofoam™ encased in fiberglass, forming the flotation. Fiber-optic signal transmission is used in propulsion and tool control, sensor input and video systems. Custom programming using C# incorporates data visualization tools from Dundas Gauge and DirectX. Custom tether is neutrally buoyant in the competition environment. Task-specific tools of original design or application have been fabricated for each mission task. The priority in design was simplicity, low drag, low weight, high efficiency, reliability, and robust materials. The Eastern Edge Robotics Team is a diverse group, comprising 17 students from three academic institutions: Memorial University, the Marine Institute, and the College of the North Atlantic. The polar theme of the 2007 MATE/MTS ROV Competition inspired the team to name their ROV Bartlett after Captain Robert Bartlett, an eminent polar explorer born in the British colony of Newfoundland.
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.
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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.034 | 0.021 |
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".