Cold temperature tolerance of albino rainbow shark (<i>Epalzeorhynchos frenatum</i>), a tropical fish with transgenic application in the ornamental aquarium trade
Bibliographic record
Abstract
Application of fluorescent protein transgenesis has commercial use for the ornamental aquarium trade by creating new colour phenotypes in various species. To determine the potential for transgenic ornamental aquarium fish to overwinter in Canada, the minimum temperature tolerance of albino rainbow shark (Epalzeorhynchos frenatum (Fowler, 1934)) was estimated to complement a previous study examining cold tolerance of zebrafish (Danio rerio (Hamilton, 1822)), black tetra (Gymnocorymbus ternetzi (Boulenger, 1895)), and tiger barb (Puntius tetrazona (Bleeker, 1855)). Rainbow shark had higher low temperature tolerance limits (LD50 = 10.7 ± 0.1 °C) than surveyed winter water temperatures in Canada. There was a significant negative correlation between condition factor and temperature at loss of equilibrium, suggesting fish with lower social status may be more susceptible to cold temperature than dominant fish. These results indicate transgenic E. frenatum are not expected to persist over winter in Canadian waters.
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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 | 0.000 | 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".