Inclusion of a dry surface layer and modifications to the transpiration and canopy evaporation partitioning in the Canadian Land Surface Scheme Including biogeochemical Cycles (CLASSIC)
Bibliographic record
Abstract
The files provided here include the source code of the Canadian Land Surface Scheme Including biogeochemical Cycles (CLASSIC; https://cccma.gitlab.io/classic_pages/) v1.2 for the Baseline CLASSIC as well as versions including a dry surface layer (DSL) parameterization and the DSL together with a modified partitioning into canopy evaporation and transpiration (DSL-EcT). Site-level initialization and meteorological forcing files for 39 FLUXNET sites as well as example run-parameters and job-options-files are included. Site-level and global CLASSIC outputs presented in the manuscript Inclusion of a dry surface layer and modifications to the transpiration and canopy evaporation partitioning in the Canadian Land Surface Scheme Including biogeochemical Cycles (CLASSIC) submitted to the Journal of Advances in Modeling Earth Systems (JAMES) are provided. For more details on CLASSIC and how to run the model see https://cccma.gitlab.io/classic_pages/.
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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.061 | 0.021 |
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".