Correlation of radon anomalies with microseismic events in Kangra and Chamba valleys of N-W Himalaya
Bibliographic record
Abstract
Radon monitoring was carried out at Palampur and Dalhousie stations in Kangra and Chamba valleys using emanometry for discrete measurements of time-series radon data since 1992 under Himalayan Seismicity programme of Government of India. The correlation of radon data with micro-earthquakes recorded by Indian Meteorological Department (IMD) network during the time window 1992-1997 shows a rising trend both in microseismicity as well as radon in Kangra and Chamba valleys of N-W Himalayan region under investigation.The effect of meteorological parameters (temperature, rainfall, humidity and wind velocity) on radon emanation was studied. The correlation co-efficients of radon data and the meteorological parameters recorded at Palampur suggest that temperature, rainfall and humidity have positive correlation, whereas wind velocity has negative correlation with radon.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".