Bibliographic record
Abstract
In this paper, Bouguer anomaly was reconstructed as 2 D arrays by singular decomposition method. The cross multiplying of left and right eigenvector matrix created an orthogonal base. The projection coefficients for Bouguer anomaly are its eigenvalues (square of singular values). These singular values are one kind of power spectra or energy density. After comparison of energy density, changing rate of energy density and accumulated energy density, the energy measurement was defines as the function of energy density radii. The energy measurement defined by this way is related with the radii by multi fractal power law. Use optimal least square (LS) segmentation, the breaks points on radii coordinate were got. Use these breaks, geophysical fields could be reconstructed, filtered or decomposed in this orthogonal space. A program was made and integrated into GIS environment fro this purpose. Then using this tool, the geophysical data from Nova Scotia, Canada, were processed and the results were compared with known gold deposit ores positions and geology. It approved that the reconstructed fields represent background and anomalies very nicely. This method could also be used in image processing and compressing. By this software, the singular analysis and reconstruction can be done on a fly and with most facilities and could overlay with other known datasets.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".