Features of Earth's local magnetic field in different locations
Bibliographic record
Abstract
At this time that are 6 ultra-sensitive magnetometers, which constantly continuously record the Earth's time carying magnetic field which are located in California USA, Canada, Lithuania, Saudi Arabia, South Africa and New Zealand. Numerous scientific publications have show significant interrelations between changes in the Earth's magnetic field and human health. We studied the data recorded from the magnetometers located in Canada, Lithuania, South Africa and New Zeland during the 2016-2017 years. The spectrums that relect the Shumann resonancies were divided into frequency intervals according to the EEG clasification corresponding with the main Shumann resonancess spectrum bands [0-3.5 Hz], [3.5-7 Hz], [7-15 Hz], [15-32 Hz], and [32-66 Hz]. The power of of Schuman resonances spectrums in every frequency interval was calculated as a average (A) of the power and as a median (M) of it. The difference between (A-M) show intensity of nontypical fluctuations in Earth magnetic field. Those nontypical fluctuations, we think, is more related to the space weather influences and solar wind while instant Earth magnetic, field fluctuations are more related to more slow median changes. [...].
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".