Composition and Abundance of Drifting Fish Larvae in the Canadian River, Texas
Bibliographic record
Abstract
We documented the species composition and abundance of drifting ichthyoplankton in the Canadian River, Texas during the 2000 and 2001 reproductive seasons. Eleven species of fishes representing four families were collected. Arkansas River shiner (Notropis girardi), red shiner (Cyprinella lutrensis), peppered chub (Macrlzybopsis tetranema), and plains minnow (Hybognathus placitus) were the most abundant species in the drift. The density of drifting larvae ranged from 0 to 10 fish 100 m−3 in 2000 and from 0 to 4 fish.100 m−3 in 2001. However, density was typically less than 3 fish. 100 m−3 except for June in both years when the greatest peaks in density occurred. The overall abundance of drifting larvae was much greater during the 2000 reproductive season than it was during the 2001 reproductive season. This is likely a result of consistently greater stream discharge that occurred during 2000.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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".