OASIS-CANADA-OOTI CFL: Atmospheric composition and structure during the CFL campaign near the Amundsen icebreaker in the Amundsen Gulf
Bibliographic record
Abstract
Data were compiled in campaign mode and were obtained over the ice of the Amundsen Gulf, using the OOTI (Out On The Ice) mobile laboratory mounted on a specially manufactured Arctic sled and running on a bank of 12 VDC batteries. Chemical and meteorological variables were collected with commercial instrumentation, as detailed below. Mercury (Hg): Gardis (atomic absorption spectroscopy) instrumentation displayed strong dependence of the cell desorption with battery voltage, thus data are not archived. Bromine monoxide (BrO): Measurements were made with a hybrid MAXDOAS (multi-axis differential optical absorption) instrument built by the University of Heidelberg and Hoffmann Messtechnik GmbH, and integrated scan head built by University of Alaska Fairbanks. Bromine monoxide and oxygen dimer data were taken at variable temporal resolution based on available light intensity and are all included in one file for the entire campaign. Ozone (O3): One-minute averages are taken with two 2B technology monitors at two different heights and archived data are merged with meteorological variables in daily combined data files. Atmospheric turbulence was characterised by Sonic anemometer; Data were recorded at 10Hz, 1 Hz, 1 minute sampling frequency and archived at one-minute resolution. Wind, temperature, atmospheric pressure, relative humidity, and radiation: Campbell Scientific instrumentation data are archived at one-minute intervals. Position: GPS was recorded at 10Hz resolution by NovaTel GPS receiver built into the OOTI system. One-minute frequency record is included with combined ozone and meteorological data daily files. Environmental survey (photos): Logitech webcam taking snap shots at five-minute intervals are archived. Carbon dioxide measurements made with Licor instrument indicated strong dependence on temperature and input voltage thus are not archived.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".