Comment on the “Hypothesis for the role of toxin-producing algae in Phanerozoic mass extinctions based on evidence from the geologic record and modern environments”
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Castle and Rodgers (2009) propose that toxins produced by photosynthetic microbes (“algae”) were factors in the five major Phanerozoic mass extinctions. Although toxins have undoubtedly caused metazoan mortality throughout the Phanerozoic, the data presented by Castle and Rodgers (2009) do not constrain the timing, scale, impact, or longevity of any such events and do not support the suggestion that microbially produced toxins significantly affect extinction rate. To demonstrate a causal relationship between the production of toxins and extinction events, a reliable high-resolution proxy for toxin production is required; such a proxy must indicate an increase in toxin production at, or immediately before, each mass extinction. Castle and Rodgers (2009) propose stromatolite abundance as such a proxy. Unfortunately, its accuracy as a measure of algal abundance is questionable. The increased abundance of certain algae inhibits, rather than promotes, stromatolite growth (Macintyre et al., 1996). Furthermore, the link between toxin production and stromatolitic organisms is only tentatively supported (Burns et …
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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 | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 it