Bibliographic record
Abstract
Kimea Creek (NTS 94P/10) map area was glaciated by the Laurentide Ice Sheet during the Late Wisconsinan (ca. 25 000-10 000 years ago), which deposited clayey till over most of the area. Glacially streamlined landforms in the northwest quadrant show that the main ice flow was from the northeast. However, most of the area is flat and boggy, with peat accumulations of 2 to 3 m, which locally form hummocky surfaces underlain by discontinuous permafrost. Till is usually found underlying broad forested uplands, which commonly lie only a few metres above the surrounding wetlands. Numerous small moraines and crevasse-fill ridges mark the pattern of glacial retreat and minor readvances. These probably formed when the ice sheet thinned and the ice margin became lobed. During deglaciation, when the ice margin retreated to the northeast, meltwater was routed westward between the ice margin and gradually rising topography to the south. Several large meltwater channels were cut at this time. The southern channels are relatively older than the ones to the north. One of the largest meltwater channels lies in the southern part of the map area, which is currently occupied by Kimea Creek and lower Sahdoanah Creek. This channel was the main drainage when the Petitot River to the north was still covered by ice and the most significant glaciofluvial deposits in the map area are found within its banks. With subsequent ice retreat, younger meltwater channels were cut further northward. The northernmost one is currently occupied by the modern Petitot River.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 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) | 0.058 | 0.008 |
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".