Digital surficial geology data of the Greater Toronto and Oak Ridges Moraine area, southern Ontario
Bibliographic record
Abstract
This CD-ROM digital release contains digital files for the surficial geology of the Greater Toronto and Oak Ridges Moraine areas. The data on this CD-ROM has been released previously as hardcopy Geological Survey of Canada Open File 3062. Additionally, all of the 1:50 000 scale mapsheets in this release have been released in hardcopy format by either the Geological Survey of Canada or Ontario Geological Survey. New mapping was completed for the nine mapsheets within the NATMAP study area. This re-mapping is based on new field work complemented by archival field data. Combined most maps have > 1,000 field sites. The six maps outside the NATMAP area have been re-mapped with a minimum of new fieldwork but include re-assessed archival data and a simple common legend. The summary map here retains the linework, legend, and many of the symbols of the 1:50 000 map series. The geology coverage on this CD-ROM is provided in a variety of vector formats (E00, Shape, MapInfo). This CD-ROM does not contain any base information from Geomatics Canada National Topographic Database. The Oak Ridges Moraine NATMAP and Hydrogeology Project has been a collaborative geoscience project with the Ontario Geological Survey, Ontario Ministry of Environment and the Ontario Ministry of Natural Resources.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.007 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.032 | 0.006 |
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".