Bibliographic record
Abstract
iACKNOWLEDGEMENTS The authors wish to thank Dr. B. Garrett (Geological Survey of Canada) for providing a GSC till standard to use as controls in geochemical analyses of the samples submitted to various laboratories during this study. Thanks also to R. Richardson and R. Olson for reviewing the manuscript and T. Osachuk and D. Troop of Prairie Farm Rehabilitation Administration regarding the Grimshaw groundwater report. The co-operation and assistance received from the personnel at Municipal Districts of 22, 131 and 135, the Peace River Alberta Transportation Regional office is sincerely appreciated. The various companies involved in locating subsurface utilities conducted through Alberta First Call were completed efficiently and without delay The writers are indebted to the willing and able support from the field assistants Solweig Balzer (1993), Nadya Slemko (1994) and Joan Marklund (1995). Special thanks also goes to Dan Magee who drafted the coloured surficial geology map. Partial funding for field support in 1994 was provided by a grant from the Canadian
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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.601 | 0.410 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".