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Record W2913982093 · doi:10.1139/cjfas-2018-0097

Thermal dependence of size-at-hatch in the lake whitefish (<i>Coregonus clupeaformis</i>)

2019· article· en· W2913982093 on OpenAlexafffundvenue
Charles Mitz, Christopher Thome, Mary Ellen Cybulski, Christopher M. Somers, Richard G. Manzon, Joanna Y. Wilson, Douglas R. Boreham

Bibliographic record

VenueCanadian Journal of Fisheries and Aquatic Sciences · 2019
Typearticle
Languageen
FieldEnvironmental Science
TopicFish Ecology and Management Studies
Canadian institutionsBruce Power (Canada)University of ReginaNOSM UniversityMcMaster UniversityMcMaster University Medical Centre
FundersNatural Sciences and Engineering Research Council of CanadaBruce PowerOntario Ministry of Natural Resources and ForestryMinistry of Natural Resources
KeywordsHatchingBiologyCoregonus clupeaformisEgg incubationIncubationAnimal scienceEmbryoCoregonusEcologyZoologyFisheryFish <Actinopterygii>

Abstract

fetched live from OpenAlex

Lake whitefish (Coregonus clupeaformis) embryos incubated at low temperatures have a longer incubation period and hatch at a significantly greater size than those incubated at warmer temperatures. We examined hatch timing and morphological characteristics for whitefish embryos reared under different constant and varying temperatures to determine whether the thermal dependence of hatching size reflects differences in their development stage. Our results show that lake whitefish embryos hatch at different temperature-dependent developmental stages, and this is the dominant factor affecting size-at-hatch. The term “heterograde” is proposed for the thermal dependence of hatching stage to differentiate it from hatching that occurs at a fixed developmental stage. A method to quantify this effect is given using a ratio that describes the difference in relative development at hatching between different viable constant incubation temperatures. Heterograde hatching is proposed as a possible mechanism to synchronize the timing of hatch to the break-up of winter ice cover despite variability in the date of spawning and in the onset of spring break-up.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.009
GPT teacher head0.191
Teacher spread0.181 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations17
Published2019
Admission routes3
Has abstractyes

Explore more

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