Characterization of regional air temperature and precipitation and its relationship to shallow groundwater resources in the ancient forest, British Columbia.
Bibliographic record
Abstract
In the Inland Temperate Rainforest (ITR) of northeastern British Columbia, nearly 50% of the annual precipitation falls as snow. Persistence of soil moisture has implications for tree species survival and snowmelt is a vital component of the soil moisture regime in the ITR. Presented in this study are hydrometeorological data from 1 November 2011 to 31 August 2012 from two sites, the Ancient Forest and Lunate Creek, 110 km east of Prince George, British Columbia and are compared to the 1981-2010 climate norms at Prince George Airport. Shallow groundwater, surface water, and seasonal precipitation were collected for isotopic analysis to identify moisture sources for shallow groundwater. Soil moisture and shallow groundwater had minimal response to rainfall, but snowmelt comprises 40% of shallow groundwater. With changes in climate indicating a phase shift from snow to rain, the snowmelt contribution to groundwater, and thus available soil moisture, has the potential to diminish. --Leaf ii.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".