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
To date in 2017, in the United States, 15 people have been killed by lightning, and on average 31 people are killed per annum [1]; in Canada that number is approximately 10 per annum with another 164 people injured.[2] Outdoor recreation activities have accounted for over 70 per cent of those previously killed and over 62 per cent of those injured by lightning in Canada.[3] It is hypothesized that as global temperatures rise, more and more lightning storms will occur. The number of lightning\nstrikes hitting the surface of the earth is predicted to increase 12% for every degree Celsius of warming.[4] If this prediction is proven to be true, that represents a significant increase in risk to those undertaking recreational activities and those working remotely. Preparation and planning will be of utmost importance in avoiding lightning related\ninjuries. In this article we will outline information about lightning, lightning safety, and management of lightning injuries.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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