Early Results From the First Radarsat-I Antarctic Mapping Mission: Proceedings Papers Submitted to International Geoscience and Remote Sensing Society Meeting, Seattle, Washington, July 1998
Bibliographic record
Abstract
The Radarsat-1 Antarctic Mapping Mission (RAMP) is a collaborative effort between the Canadian Space Agency and the U.S. National Aeronautics and Space Administration. The major participants in RAMP are The Ohio State University, the Alaska SAR Facility, the Jet Propulsion Laboratory and Vexcel Corporation. The goal of the collaboration is to create the first, complete high-resolution radar mosaic of all of Antarctica for studies of Antarctic glaciology, geology, meteorology and coastal processes. The papers in this report describe early scientific results from the first RAMP Antarctic Imaging Campaign (AIC) which occurred from September to October of 1997. The papers have been accepted for presentation at the July 1998 meeting of the International Geoscience and Remote Sensing Society meeting in Seattle, Washington. Also included is a paper which utilized ERS SAR data to study the geology of the Antarctic Peninsula. Techniques developed in that project will be applied to geologic studies of all of Antarctica.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".