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Record W2068951343 · doi:10.1080/15222055.2014.955156

Initial Characterization of Embryonic Development in North American Burbot

2014· article· en· W2068951343 on OpenAlexfundno aff
Joshua Egan, Ryan D. Johnson, Paul J. Anders, Kenneth D. Cain

Bibliographic record

VenueNorth American Journal of Aquaculture · 2014
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAnimal Genetics and Reproduction
Canadian institutionsnot available
FundersU.S. Fish and Wildlife ServiceBonneville Power AdministrationMinistry of Forests, Lands and Natural Resource OperationsIdaho Department of Fish and Game
KeywordsBiologyCharacterization (materials science)Embryonic stem cellZoologyEmbryogenesisFisheryGeneticsNanotechnologyEmbryoGene

Abstract

fetched live from OpenAlex

Abstract Declining wild populations and increasing commercial interest are encouraging development of aquaculture methods for the North American Burbot Lota lota maculosa. A current focus of Burbot aquaculture research is reducing high mortality that is typically associated with culture of Burbot embryos and larvae. However, no Burbot embryonic or larval staging systems are currently available to provide a comparative baseline for studies of these life stages. To help address this gap, we examined Burbot embryonic development from egg fertilization until the onset of the larval period at first feeding. Ontogeny was characterized using diagnostic morphological features visible with stereo microscopy. Six developmental periods were characterized (cleavage, blastula, gastrula, segmentation, swim bladder inflation, and first feeding), along with 15 developmental stages. Water temperature ranged from 3°C to 5°C for the duration of this study. Cleavage cycles were approximately 8 h/division. Segmentation began at 12 d postfertilization (DPF) and continued until first hatch at 33 DPF. First feeding was observed at 45 DPF, 12 d after first hatch. Results presented here are expected to help refine Burbot culture methodology and research efforts aimed at conservation, management, and commercial production. Future research should use additional cohorts and expose embryos to a range of culture conditions to better understand the factors governing embryonic survival and variability in the timing of events during development.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.458
Threshold uncertainty score0.449

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.006
GPT teacher head0.231
Teacher spread0.225 · 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 teacher head, 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

Citations5
Published2014
Admission routes1
Has abstractyes

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