The onset of continental weathering recorded in Archean banded iron formations
Bibliographic record
Abstract
Abstract Early landmass emergence impacted marine chemistry and biosphere evolution by supplying nutrients through continental weathering. However, uncertainties persist regarding the timing of emergence and onset of early continental weathering. We present a compilation of germanium (Ge) and silicon (Si) in banded iron formations (BIFs) to assess Archean weathering. By leveraging the inverse correlation between Ge/Si ratios and Si contents in BIFs, we interpolate the evolution of Archean seawater Ge/Si for the first time. Our analyses reveal a stepwise decrease in Ge/Si, from near-hydrothermal values to those resembling continental input, at ca. 3.5 Ga. Based on a Ge-Si mass balance model, we propose that this shift is attributable to increased riverine fluxes, coinciding with the rapid emergence of continental crust. Significantly, this implies that two crucial prerequisites for the establishment of a marine biosphere were fulfilled in the early Archean: (1) the presence of marginal marine environments suitable for benthic and planktonic communities; and (2) a supply of terrestrially sourced nutrients.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".