Simulation of the last glacial inception with the green McGill Paleoclimate Model
Bibliographic record
Abstract
The “green” McGill Paleoclimate Model (MPM), which includes an interactive vegetation component, is run between 122 and 80 kyr Before Present (BP) under Milankovitch forcing and Vostok‐derived atmospheric CO2 concentration. The model simulates the last glacial inception (LGI) at around 119 kyr BP, and the subsequent buildup of huge ice sheets over the high northern latitudes, especially North America. Due to the addition of a vegetation component and an improved land surface scheme in the MPM, the resulting ice sheet volume is relatively small over Eurasia but quite large over North America, which is in qualitative agreement with observations and represents a significant improvement over the LGI results from the previous version of the MPM. The reduction of the forest area at high northern latitudes during the inception phase, which is induced by decreased warm season insolation, is necessary for the ice sheets to grow over Eurasia and to have large ice sheet growth over North America.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".