Bibliographic record
Abstract
The Northern Aerosol Regional Climate Model (NARCM) is being developed in order to better understand how aerosols affect the Canadian climate. NARCM uses microphysical and chemical parameterizations that enable it to predict the evolution of the aerosol spectrum using the concentration and composition in 12 size-segregated bins as prognostic variables. In this study, two aerosol species are considered as prognostic variables within NARCM: sulphate and sea-salt. The sulphur species concentrations and aerosol distributions simulated by NARCM are evaluated against clear-sky in-situ aircraft measurement taken off the coast of Nova Scotia during the North Atlantic Regional Experiment (HARE). NARCM demonstrates skill at predicting the column burdens of the sulphur species concentrations at the NARE site throughout the NARE period. Simulations of the average column burdens of sulphur dioxide and sulphate showed differences of 57% and 28% respectively from the observed values. The accumulation mode in the aerosol distributions simulated by NARCM has a tendency to be smaller than the measured mode. There is evidence that the absence of other aerosol species may account for the too small sizes of the simulated aerosol when sulphate volumes are small.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".