A chemostratigraphic framework for southern Ontario: a progress report
Bibliographic record
Abstract
Work has been advancing since 2015 on the development of a framework and reconnaissance scale overview of subsurface geochemical variability of southern Ontario. In a collaborative effort between universities, Conservation Authorities, the Ontario Geological Survey and the Geological Survey of Canada geochemical data is being acquired from continuously cored boreholes using both portable X ray fluorescence spectrometry and traditional wet chemical analysis. The activity is now in its third year and recent work has focused on sediment cores from the GTA, Waterloo, Dundas Valley, Bradford, south Simcoe, and London areas. Thirty-three boreholes and ~3000 samples have been analyzed. The borehole distribution loosely aligns alon and east-west and north- south transect of 300 and 200 kms, respectively. All data is in the process of being prepared for publication as data release Open Files. An additional ~600 samples have been received from Oro, Orangeville, Niagara, and Pickering areas and analysis should be completed in 2018. These analysis will complete the reconnaissance scale transect framework development for Southern Ontario. Once finished, the framework will be available for comparison when more site specific, local scale studies obtain subsurface geochemistry. Work is also underway preparing a manuscript on the methodology and QA/QC process employed within the southern Ontario project for the combined laboratory and pXRF dataset.
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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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.008 | 0.017 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.005 |
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".