Bibliographic record
Abstract
The Canadian Soil Carbon Project was initiated in 1991 to determine the amount of organic carbon in all Canadian soils. The goal was to establish a uniform database for soil carbon data for the whole of Canada. Canada&s;s Soil Organic Carbon Database consists of a digital cover in ARC/INFO format compiled at 1:1 million scale. The database is also composed of 3 attribute tables, a carbon polygon attribute table (CARBON.PAT), a carbon component table (CARBON. CMP), and a carbon layer table (CARBON. LYR). The Carbon Polygon Attribute Table (CARBON.PAT) links the digital cover and to the other attribute tables CARBON. CMP describes each soil and/or nonsoil component found in each spatial polygon. CARBON. LYR contains pertinent information for calculating a soil&s;s carbon density for each layer of each soil. The Canadian Soil Organic Carbon Database can be used confidently by policy makers to evaluate the state of carbon in soils and identify areas of concern.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.011 | 0.026 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.077 | 0.042 |
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".