Bibliographic record
Abstract
Since the late 1960s Manitoba hydro has been making high direct-voltage ramp tests to detect defects in the groundwall insulation of the stator windings of generators and motors. At first an electrostatic generator was used to obtain the necessary voltage regulation and an operational amplifier was added to the control circuitry to produce the desired ramp function in the output voltage. In the 1980s a much smaller solid state supply was introduced in which the high voltage transformer operates >40 kHz. This high voltage supply has superior voltage regulation and it was modified to provide the desired ramp function output voltage. Until recently the measured current was plotted on the vertical axis of an X-Y recorder while the horizontal axis indicated either time (for the initial polarization index step) or voltage (for the ramp test). However there has been increasing difficulty in maintaining the X-Y recorder in reliable condition. New recorders of this type are no longer available from most suppliers. To overcome these problems a data acquisition system was introduced which allows the current and voltage data to be logged on a laptop PC. Identification and temperature data are keyboard entered. Once stored securely the data can be displayed in different formats. This greatly increases the flexibility of the record system
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 | 0.009 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.036 | 0.019 |
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".