Land-Sea Asynchrony: Revealing the Temporal Discrepancy in Terrestrial and Marine Extinctions at the End of the Permian
Bibliographic record
Abstract
On January 31, 2024, Shu Zhong Shen and his research team published an article in the journal Science Advances titled "The terrestrial end Permian mass extraction in the paleotropics postdates the marine extrapolation." The article investigated the temporal shift of the last Permian mass extinction between land and ocean, focusing mainly on the land and transitional coastal strata in southwestern China. By high-precision zircon U-Pb isotope dating of tuff samples from several key strata, it was revealed that the collapse of terrestrial ecosystems actually began after the mass extinction of marine organisms. The analysis results show that the extinction process of this terrestrial ecosystem is not only later than that of marine ecosystems, but also exhibits significant asynchrony at different latitudes. Research has shown that the extinction of terrestrial organisms began in high latitude areas and gradually expanded to low latitude areas, with the entire extinction process spanning nearly one million years. The possible environmental and biological response mechanisms discussed in the article during the extinction process provide a new geological and temporal framework for understanding one of the most serious biological crises in Earth’s history.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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 teacher head, 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".