Ascertaining the life history and thermal preferences and tolerances of the hot spring snail <i>Physella wrighti</i> Te and Clarke (Gastropoda: Physidae)
Bibliographic record
Abstract
Physella wrighti Te and Clarke, 1985 is an Endangered freshwater snail endemic to the Liard Hot Springs. The thermal characteristics of its environment suggest that water temperature (WT) is essential for the snail’s survival. Initially, Physella wrighti’s preferred WT was assessed, with 23 °C preferred. To determine if WT influenced the snail, the activity level, behaviour, survivability, number of egg masses (EMs) produced, number of eggs per mass (EPM), egg volume, EM viability, and incubation period (IP) were examined in 13 °C, 23 °C (preferred WT), and 33 °C water. No differences were found in activity level, but snails in 33 °C left the water more frequently, experienced total mortality, had the shortest survival length, produced the fewest EMs, however, had the shortest IP. Snails in 13 °C survived the longest, produced the most EPM, but had the lowest viability. Snails in 23 °C produced the most EMs and had the greatest viability, EPM did not differ from 33 °C, and IP was between 13 °C and 33 °C. These data indicate that Physella wrighti benefits more from WTs in the lower range of its habitat and has implications for its ecology and conservation.
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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".