Bibliographic record
Abstract
A total of 49 families and 399 species of fishes was recorded from the reef area around Taiping Island (Itu Aba Island) in the Spratlys (Nansha Islands), located at 114°21'-114°23' E, 10°22'-10°23' N. Data were collected by underwater observation, specimen identification, and photography during our survey of 19-23 April 1994. A checklist, including previous records, of 50 families and 421 species was compiled. If all midwater pelagic species are taken into account, the number of fish species occurring at Taiping Island is well over 450, a figure below that anticipated for a reef island located close to the equator and Indo-Australian diversity center. Limited reef area and recent reef degradation may be the principal causes of the disparity. Czekanowski similarities for eight regions around Taiwan and in the South China Sea show that the reef fish fauna of Taiping Island most closely resembles that of Green Island, then Orchid Island, Tungsha (Pratas Island), Hsiaoliu- chiu, southern Taiwan, Penghu, and northern Taiwan in that order. The fish fauna of the western coast of Taiwan, which has a predominantly sandy environment, is most different from that of Taiping. The results suggest that the fish fauna of Taiping Island originated by larval dispersal from the Kuroshio Current as is probably the case for southern Taiwan and its adjacent islets. However, 42 species found in this survey, of which 11 are probably undescribed, are not known from the waters around Taiwan. Most of the fish species (95.7%) at Taiping Island are widely distributed, particularly in the Indo-Pacific Region. Fewer than 20 species are restricted in their distribution.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.006 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.005 | 0.003 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.005 | 0.011 |
| Open science | 0.007 | 0.005 |
| Research integrity | 0.010 | 0.005 |
| Insufficient payload (model declined to judge) | 0.991 | 0.995 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".