Macrofossil reports from core MUS1, Muskrat Bay, lower French River area, and core DPN2, Depensier Lake, North Bay, Ontario
Bibliographic record
Abstract
Organic-rich beds within the 4.68 to 4.71 and 5.17 to 5.19 m depth intervals of core MUS1 from Muskrat Bay, French River area, Ontario, and the 0.72 to 0.76 m depth interval of core DPN2, from Depensier Lake, North Bay, Ontario, have been examined for macrofossils by Paleotec Services, Ottawa. The resulting macrofossil assemblages are summarized in macrofossil reports 23-08, 04-05 and 24-08 which are presented within this Open File Report. These reports contain: background data on the examined sample; a listing the macrofossil content with an indication of relative abundance and notes on the specific remains; and text summarizing the macrofossil assemblage, key macrofossil remains and growing environment, and the interpreted environmental context of the assemblage. The macrofossil assemblages reported here have been used by other scientific papers in support of interpretations that the Huron-Georgian basins were hydrologically closed between 9.0 to 8.4 and 9.5 to 9.3 ka cal BP.
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 | 0.006 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.016 | 0.002 |
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".