Timing and Demographic Characteristics of Redhorse Spawning Runs in Three Great Lakes Basin Rivers
Bibliographic record
Abstract
ABSTRACT Boat-electrofishing surveys and fishway monitoring were undertaken to describe the characteristics of redhorse (Moxostoma spp.) spawning runs in the Grand River, Muskegon River and Trent River. Spawning began in early May and was complete by mid-June. Timing of spawning varied among species, rivers, and years. Shorthead redhorse and silver redhorse spawned earlier and at lower water temperatures than black redhorse and river redhorse. Differences between rivers and years likely resulted from differences in the timing of suitable water temperatures and suitable flow levels, respectively. Spawning males were generally smaller, more numerous, and present in spawning areas earlier than females. While males reached sexual maturity at a younger age than females, there were no overall differences in the ages of spawning male and female redhorse.
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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".