Single-Channel Tricolour Absorption Photometer (STAP) measurements of aerosol absorption coefficients in summertime in Narsaq, South Greenland during Greenfjord 2023
Bibliographic record
Abstract
Abstract and dataset contents: This dataset contains measurements of aerosol absorption coefficients at 450, 525 and 624 nm using a Single-channel Tricolour Absorption Photometer (STAP, Brechtel Manufacturing Inc. USA), which measures the attenuation of light through a sample filter at multiple wavelengths and compares this to a reference filter. Measurements were conducted at Narsaq International Research Station (NIRS), centrally located in Narsaq, Southern Greenland (lat: 60.9157503°, lon: -46.0533263°, alt: 17 m above sea level), during the Greenfjord campaign in June-August 2023. Metadata can be found in the file 'metadata_STAP.docx'. Briefly, the dataset files (Lv2_STAP.csv) include: Datetime Absorption coefficients at 450, 525 and 624 nm (M m-1) Pollution flag to inform data user when short-lived spikes can be found in the data from local anthropogenic pollution Inlet relative humidity (RH) flag to inform the data user when the RH in the inlet system reached over 40 % Filter usage flag to inform data user of the sample filter usage per wavelength due to different responses to filter loading at each wavelength Grounding flag to inform user when the instrument was not electrically grounded and therefore a larger signal-to-noise ratio is expected Funding acknowledgements: This work was supported by funding from the Swiss National Science Foundation grant no. 200021_212101, the Swiss Polar Institute grant no. SPI-FLAG-2021-002 Greenfjord, and the ENAC Flagship 2022 ECO-Plains.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.003 |
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".