IMPACT OF GEOMAGNETIC STORMS, LUNAR CYCLES AND DAYS OF THE WEEK ON CAR ACCIDENTS INJURING PEOPLE IN TERMS OF THEIR POTENTIAL IMPACT ON ROAD USERS IN VINNYTSIA AND THE REGION, UKRAINE
Bibliographic record
Abstract
The study analyzes the impact of geomagnetic storms, lunar cycles and days of the week on car accidents with injuries to people in terms of their potential impact on road users. The study was conducted on the basis of data from 2015 to 2020 in the city of Vinnytsia and region, Ukraine. The effect of geomagnetic storms was estimated according to the values of the Kr index and was weak at a level less than 0.05. The analysis by lunar cycles took place in four lunar phases. An increase in the number of accidents was observed only in the period of the new moon - the first quarter of the cycle. The number of accidents increased on Thursday and Friday relative to the days of the week, and the number of accidents decreased from Monday to Tuesday during the last two years of observation.
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 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".