HYVIS Snow Crystal Camera Imagery. Version 1.0
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.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.023 | 0.048 |
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".