Geological and geophysical data compilation for the western Wabigoon and southern Abitibi subprovinces of the Superior Province, Ontario, Canada
Bibliographic record
Abstract
Geological layers representing geological observations (e.g., structural measurements, mineral occurrences) and interpretations (e.g., faults traces, map units) for and Archean greenstone belt near Dryden and Timmins, Ontario, Canada in the geological Superior Province. Newly interpreted layers such as lithology polygons (‘MapUnits’) and structural traces (‘Geolines’) are included as ESRI shapefiles. Two geophysical datasets are provided, including a database of new magnetic susceptibility measurements from 2018 and 2019 field seasons near Dryden, Ontario. Additionally, an ensemble of reprocessed aeromagnetic grids (40 m by 40 m cell size) from the Ontario Geological Survey’s (2011) geophysical survey datasets are included as projected geo .tiff and .grd files. The ensemble includes total magnetic intensity with cosine roll off filtering, first vertical derivative, second vertical derivative, tilt derivative, and dynamic range compression. Hill-shaded relief grids are also included, and their azimuth and angle of incidence are indicated in their filename.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.007 | 0.023 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.051 | 0.021 |
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".