HYVIS Snow Crystal Camera Imagery. Version 1.0
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This dataset contains images from the HYVIS (hydrometeor videosonde) snow crystal camera collected at the North Redfield, New York site from 7 December 2013 through 27 January 2014 as part of the Ontario Winter Lake-effect Systems (OWLeS) project. The time period covered by the data is as follows: IOP 1: 1200 UTC 07 December - 0000 UTC 08 December 2013 IOP 2: 1400 UTC 10 December - 2300 UTC 11 December 2013 IOP 3: 0500 UTC 13 December - 1415 UTC 13 December 2013 IOP 5: 1500 UTC 18 December - 2350 UTC 18 December 2013 IOP 14: 2200 UTC 19 January - 1115 UTC 20 January 2014 IOP 21-22: 0130 UTC 27 January - 2220 UTC 27 January 2014 NOTE: The frequency of images captured during IOPs 14, 21 and 22 was very low.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.077 |
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 it