The oldest evidence of bioturbation on Earth: COMMENT
Bibliographic record
Abstract
Here we question the conclusions of Rogov et al. (2012), who claim \nto describe “the oldest evidence of bioturbation on Earth” in the form of \nmeniscate backfi lled burrows and escape traces from late Ediacaran car- \nbonates of the Siberian Khatyspyt Formation. Because trace fossils can \nconstrain early Metazoan origins, and are used to defi ne the base of the \nCambrian Period (Brasier et al., 1994), such a signifi cant claim requires jus- \ntifi cation by careful interpretation of the material, and critical analysis, both \nof which appear wanting here. Although we agree that multiple biological \nand ecological revolutions took place during the late Ediacaran Period, we \nquestion whether those events can be tied to these problematic fossils.
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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 | 0.000 | 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 | 0.000 |
| 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 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".