Paleozoic vegetation and the Siluro-Devonian rise of fluvial lateral accretion sets
Bibliographic record
Abstract
A long-standing hypothesis links the increased prominence of meandering rivers in the \nmiddle Paleozoic to the colonization of terrestrial environments by vegetation. This hypoth- \nesis is tested using a data set of Cambrian to Devonian fl uvial literature and fi eld examina- \ntion of key stratigraphic units. According to some researchers, Cambrian to mid-Silurian \nriver systems were braided in planform, with a sharp increase in the abundance of mean- \ndering rivers during the Silurian–Devonian. Although meandering systems were largely \nidentifi ed on the basis of thick mudstones and organized channel deposits, the data set \nrecord of lateral accretion sets appears to be a robust proxy for the abundance of meander- \ning river point bars. Lateral accretion is fi rst recorded from Pridolian–Lochkovian strata, \nbut is noted in nearly 40% of fl uvial case studies by the Famennian. This trend matches the \nknown record of rooted vegetation, suggesting that vegetation progressively stabilized river \nbanks and promoted single-thread channels. However, the presence of Precambrian and \nextraterrestrial meandering systems indicates that vegetation is not essential for meander- \ning, and the lack of evidence for Cambrian to Silurian (Ludlow) point bars is surprising. If \noriginally present, they may largely have been destroyed by extreme fl oods, chute cut-offs in \ncoarse-grained meandering systems, and eolian activity.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".