Ontogeny of Larval and Juvenile Black Redhorse (<i>Moxostoma duquesnei</i>)
Bibliographic record
Abstract
Adult Black Redhorse (Moxostoma duquesnei) were seined from the Grand River, Ontario and artificially spawned in May 2007 and May 2008. Eggs hatched after 9–16 days at a mean temperature of 20°C, and after 11–25 days at a mean temperature of 17°C. Eggs did not develop fully at temperatures <11°C. Eggs and development of larvae between 9 and 24 mm TL, and juveniles up to 35 mm TL are described. Ontogeny of larval and juvenile Black Redhorse was compared to that of Greater Redhorse (Moxostoma valenciennesi), River Redhorse (Moxostoma carinatum), Golden Redhorse (Moxostoma erythrurum), Shorthead Redhorse (Moxostoma macrolepidotum), Copper Redhorse (Moxostoma hubbsi), and Spotted Sucker (Minytrema melanops). There was significant overlap between most meristic variables compared. However, the majority of Black Redhorse in this study (up to 18 mm TL) generally had higher myomere counts that were different from most other redhorse species. These data, in combination with knowledge of variation in congeneric distributions and differences in spawning windows, may allow identification of Black Redhorse as small as 9 mm TL.
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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) | 0.002 | 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".