Fauna of tintinnids (Tintinnida, Ciliata) during an Arctic-Antarctic cruise, with the S/V “Croatian Tern”
Bibliographic record
Abstract
An investigation of large tintinnids was carried out during the Arctic-Antarctic cruise aboard the S/V "Croatian Tern" in the period from 1994 to 1997. Samples were collected at 33 stations by vertical tows with a Nansen net with a 53 µm mesh size in the Mediterranean Sea, North Atlantic, Labrador Sea, Baffin Bay, the Beaufort, Chukchi and Bering Seas, East North Pacific, South Pacific, South East Pacific, Scotia Sea, and South West Atlantic. A total of 47 species of tintinnids were found, with the greatest diversity in the Tropical areas of the Pacific, Arctic and Subarctic. A very high total abundance was registered in the Bering Sea of 247,393 ind.m-3 and in the South-eastern Pacific of 66,211 ind.m-3. The dominant species in the northern areas was Ptychocylis obtusa and in the southern areas Eutintinnus rugosus.
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.
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 | 0.001 | 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 | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 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".