Bibliographic record
Abstract
You are free to download and use the data on this website for educational or research purposes. If the data or processing results are used in publications or educational materials, you should acknowledge their source by citing: Hirsch, M., Bentley, L.R., and Dietrich, P., “A comparison of electrical resistivity, ground-penetrating radar and seismic refraction results at a river terrace site, JEEG, (in press). You must have written permission from the authors to use any portion of the data or results derived from the data for any commercial purposes. This web site contains raw data, surveying coordinate and borehole logs from a multi-method geophysical survey collected on Bow River terrace at the Pine Creek field site in city of Calgary, southern Alberta. Some of the data have been presented in paper entitled “A comparison of electrical resistivity, ground-penetrating radar and seismic refraction results at a river terrace site” by Hirsch, M., Bentley, L.R., and Dietrich, P. (Journal of Environmental and Engineering Geophysics, in press). The entire survey is described in “Geophysical survey on Pine Creek field site Calgary, Alberta Canada, Hirsch, M., M.Sc. Thesis, University Tübingen (2004) which is available on this web site. The geophysical survey includes collocated electrical resistivity imaging (ERI), ground penetrating radar (GPR), and seismic refraction along three relatively long profiles. Line locations in local and UTM coordinate systems as well as topographical data along the three profiles are also provided. The ERI data set includes ascii apparent resistivity values for Wenner configuration with different unit electrode spacings (2 m, 3 m, and 4 m). The GPR data set includes constant offset (1 m) time series using 100 MHz antennas as well as the CMPs experiments at several locations along the three profiles. The seismic refraction data set contains raw time series in SEG2 format as well as first-arrival travel-time picks along the three lines. Complementary information such as borehole logs along the survey lines is also included. We envision that this high quality data set will be useful for educational purposes, such as processing and interpretation laboratories. It will also be useful as a test data set for processing computer code development in areas such as joint inversion of multiple types of geophysical data. File “Summary” summarizes description of the data files, locations, formats and tools.
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 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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.010 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.083 | 0.037 |
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".