Design guide for wake survey positioning software version 1.0
Bibliographic record
Abstract
The wake survey experiment is used to profile water flow around a ship's propellers. This is done by positioning pressure sensors at various locations using a two axis stage. Two Soloist motion controller manufactured by Aerotech, with each controller operating a single axis motor, controls the stage. The Wake Survey Positioning software provides a user interface to the controllers and allows execution of a runfile. The runfile contains a list of points where pressure data is to be collected. Typically there is insufficient tanks space to complete all the points in a single run, therefore points are organized into multiple runs. The Wake Survey Positioning software contains several software components that interact together to perform a wake survey. These components are responsible for communications with the controllers, operations with the runfile, and application support operations such as configuration management. Components are also present for decoupling the model from the graphical user interface. Additionally, two programs run the motion controllers that provide status feedback and analog output of positional information. This report will discuss design of these modules and operation of these modules.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.135 | 0.121 |
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".