The 2020 Canada datapack for TimeScale Creator: a new tool for Mesozoic - Cenozoic stratigraphy of the Canadian north
Bibliographic record
Abstract
The Geo-mapping for Energy and Minerals (GEM) program (2010-2020) provided a unique opportunity to advance the current level of understanding of the geological history of the Canadian North. In this contribution, based on the Trans-GEM Event Stratigraphy activity, a compilation of Mesozoic-Cenozoic stratigraphic data from across the GEM program regions and beyond is presented, with a focus on biostratigraphic events, using TimeScale Creator, a JAVA package that facilitates the compilation and comparison of large amounts of stratigraphic data while keeping track of changing absolute ages. The '2020 Canada datapack', which incorporates some information re-evaluated and refined from an earlier datapack, includes schemes using dinoflagellate cysts, spores and pollen, foraminifers and conodonts, and a new synthesis of Canadian Arctic Jurassic ammonite and Buchia bivalve biostratigraphy. This datapack will continue to be augmented after completion of the GEM program and will become a major tool in supporting an understanding of Canada's sedimentary basins, their resource potential and management.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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 teacher head, 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".