An attempt to correlate first mode Schumann resonance intensity with ground surface temperature at low latitudes
Bibliographic record
Abstract
Employing a system of 3-component search coil magnetometer installed in a remote area in the out skirt of Agra (Geographic lat.27.2°N, long.78°E), India, Schumann resonance (SR) observations have been in progress since 01 April, 2007. In this paper we analyze the first mode intensity data for a period of one year between 01 March, 2011 and 29 February, 2012 and correlate with ground surface temperature (GST) for low latitude region between ± 30° latitude.The GST data are taken from the website: http://www.tutiempo.net. Our results show that the variation curves of the two sets of data match satisfactorily with cross-correlation coefficient of 0.522 which is consistent with earlier workers for low latitude region. We also carry out linear regression analysis and regression equation is utilized to verify the calculated and measured GST which are found to be matching satisfactorily also.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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 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".