GPAZ Yorkton Station Data July 1, 2019 to Oct 1, 2019
Bibliographic record
Abstract
NOTE FOR DATA FROM JAN 1, 2019 TO MAY 20, 2020: Ozone measurements from the GPAZ stations were compared to the National Air Pollution Surveillance (NAPS) station located in Regina. The general observation was that the average ozone measurements at the three GPAZ stations dropped below the measurements at the NAPS station at approximately the same time that the daily span values began to decrease. Based upon these observations, it is expected that degrading ozone scrubbers in each of the instruments resulted in measurements that were biased low. It was determined that a correction factor should be applied to the recorded data in order to most accurately reflect actual ozone concentrations at each of the sites for a period of time prior to the ozone scrubbers being replaced. The corrections were based on daily instrument zeros and spans over the same time period. Historical data from July 1, 2019 to Oct 1, 2019 from the Yorkton station. Contains hourly measurements for O3, NO, NO2, NOX, SO2, H2S, CS, FPM, Wind speed, Wind direction, Temperature, BP, RH, and Rain.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.039 | 0.032 |
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".