How To Tell a Sea Monster: Molecular Discrimination of Large Marine Animals of the North Atlantic
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
Remains of large marine animals that wash onshore can be difficult to identify due to decomposition and loss of external body parts, and in consequence may be dubbed "sea monsters." DNA that survives in such carcasses can provide a basis of identification. One such creature washed ashore at St. Bernard's, Fortune Bay, Newfoundland, in August 2001. DNA was extracted from the carcass and enzymatically amplified by the polymerase chain reaction (PCR): the mitochondrial NADH2 DNA sequence was identified as that of a sperm whale (Physeter catodon). Amplification and sequencing of cryptozoological DNA with "universal" PCR primers with broad specificity to vertebrate taxa and comparison with species in the GenBank taxonomic database is an effective means of discriminating otherwise unidentifiable large marine creatures.
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) | 0.000 | 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