Progression of carcass scavenging and degradation for Carcass 3 2008/2009.
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
<p>A. A few <i>Munida quadrispina</i> Benedict (squat lobster) <i>(M.q.)</i> attracted, but very few fauna present; B. Silt covering carcass and only a few <i>M.q.</i> present, but no damage visible. C. Some grazing marks in groin area from <i>M.q.</i> but skin not broken through; D. Bacterial mat forming over entire carcass. Note numerous <i>Lyopsetta exilis</i> (Jordan & Gilbert) (slender sole) on substrate; E. Sudden influx of large number of fish; F. Large numbers of <i>Pandalus platyceros</i> Brandt (three spot shrimp) as well as <i>Metacarcinus magister</i> Dana (Dungeness crab) with very few <i>M.q.</i> (Ocean Network Canada’s VENUS observatory).</p>
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 | 0.000 | 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) | 0.036 | 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