Morphology and life history of the <scp>G</scp>reat <scp>S</scp>lave <scp>L</scp>ake ciscoes (<scp>S</scp>almoniformes: <scp>C</scp>oregonidae)
Bibliographic record
Abstract
Abstract The taxonomy of the N orth A merican ciscoes ( S almoniformes: C oregonidae) remains unresolved. We provide the first comprehensive description of the G reat S lave L ake ciscoes. Our analysis supports the hypothesis that the G reat S lave L ake cisco complex includes at least two nominate species ( C oregonus artedi and C oregonus sardinella ) and an adfluvial C . artedi morph that is distinct from its lacustrine conspecific in terms of life history, morphology, age, growth and mortality. C oregonus sardinella has previously been identified from G reat S lave L ake, but we provide the first comprehensive description of this species in the lake and confirm a significant range extension for the species. The lacustrine C . artedi differs little from descriptions throughout its range. In addition to these three ciscoes, linear phenotypic traits, gillraker number and morphology, and growth data support the possible occurrence of two other, less‐distinct morphs, the big‐eye cisco and a shortjaw‐like morph C oregonus zenithicus . Although the big‐eye morph was not identified by body shape and linear phenotypic measures, it was visually identified on the basis of differences in traditional phenotypic proportions, such as orbital length, paired fin lengths, head and gillraker morphology expressed as thousands of standard length and showed different age and growth structure compared with the other lacustrine cisco morphs. C oregonus zenithicus was distinguished visually and by a statistical model of linear phenotypic traits as well as by gillraker number and morphology. Identifying, characterising and managing locally adapted cisco morphs that reflect important ecological and bioenergetic linkages are critical to conserving the ecological integrity of northern ecosystems.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.007 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.002 |
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; both teacher heads agree on what is shown here.
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".