The Canadian Earth System Model (CanESM) - v5.0.3
Bibliographic record
Abstract
CanESM is a fully coupled Earth System Model, developed at the <em>Canadian Centre for Climate Modelling and Analysis</em>, Climate Research Division, Environment and Climate Change Canada (ECCC). This respository includes all the source code, utilities and scripts used to compile and run CanESM5 and to do diagnostics on ECCC's High Performance Computers (see disclaimer regarding usage below; excludes 3rd party dependencies such as NetCDF). The CanESM code is made openly available at gitlab.com/cccma/canesm. An internal version of the code is also maintained on the ECCC gitlab server, and includes issue tracking and a wiki. This is only available from within the ECCC/Science networks, and requires a science.gc.ca login (same as for science.gc.ca machines). This CanESM repository is referred to as the <em>super-repo</em>. There are six directories at the top level of the super-repo: CanAM : The Canadian Atmosphere Model source code (also see CanDIAG). This is code strictly used by the model alone. CanDIAG : The AGCM diagnostics code, also including all code which overlaps between diagnostics and CanAM. CanCPL : The "new" coupler, built for CanAM-CanNEMO. CanNEMO : The CCCma configuration of NEMO. CCCma_tools : All scripts and utilities, which effectively make up the "CCCma environment". CONFIG : Example make_jobs and basefiles (this is not a submodule). The first five directories (CanAM, CanDIAG, CanCPL, CanNEMO and CCCma_tools) are git <em>submodules</em>. That means each of these directories is an independent git repository, and is tracked by git in the super-repo. The code in each submodule and the super-repo must be treated as separate repositories. The purpose of the super-repo is to keep track of which versions of the (submodule) code define a consistent and working version of the ESM (or AMIP configuration). Hence, a version of the ESM is completely defined by a commit (SHA1 checksum) or tag of the super-repo. This code is made available on an as-is basis. lt has been tested only on the computing facilities within Environment and Climate Change Canada (ECCC). There is no guarantee that it will run on other platforms or if it does, that it will run correctly. No support of any kind will be made available to help users to run the model on their own system. README documents linked below describe the development process used on ECCC machines.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.005 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.061 | 0.026 |
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".