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.Elcvcn species of fishes representing four families were collected.Arkansas River shincr (Notropis girardi), red shiner (Cyprinella lutrensis), peppered chub (Macrlzybopsis tetranema), and plains minnow (Hybognathusplacitus) were the most abundant species in the drift.The density of d r ~f t ~n g larvae ranged from 0 to 10 fish 100 m-3 in 2000 and from 0 to 4 fish.100m-3 in 2001.However, density was typically less than 3 fish.100m-3 except for June in both years whcn the greatest peaks in density occurred.The ovcrall abundance of drifting larvae was much greater during the 2000 reproductive season than it was during the 200 1 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 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 | 0.000 | 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) | 0.000 | 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".