Bibliographic record
Abstract
SciSat-1, otherwise known as the Atmospheric Chemistry Experiment (ACE), is a satellite mission designed for remote sensing of the Earth’s atmosphere using occultation spectroscopy. It has been developed under the auspices of the Canadian Space Agency and is scheduled for launch in August 2003. The suite of instruments on the satellite consists of a high-resolution (25 cm maximum path difference) Fourier Transform Spectrometer (FTS) operating in the infrared (2.4 to 13.3 microns), a UV/Visible Spectrometer operating between 0.285 and 1.03 microns with a resolution of 1 to 2 nm, and a pair of filtered imagers operating at 1.02 and 0.525 microns. The primary science goal of the ACE mission is to investigate the chemical and dynamical processes that govern ozone distribution in the stratosphere and upper troposphere. To this end, vertical profiles for trace gases, aerosols, temperature and pressure will be deduced from analysis of the solar occultation spectra. In particular, the role of heterogeneous reactions on ozone loss will be investigated, with a focus on the Arctic winter stratosphere.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.010 |
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".