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Record W6986854660

Response of cladocerans to native and invasive invertebrate predators in Lake Simcoe, Canada

2021· dissertation· en· W6986854660 on OpenAlexaboutno aff

Bibliographic record

VenueQSpace (Queen's University Library) · 2021
Typedissertation
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMachine Learning in Bioinformatics
Canadian institutionsnot available
Fundersnot available
KeywordsPredationPredatorZooplanktonPhototaxisAbundance (ecology)InvertebrateApex predator
DOInot available

Abstract

fetched live from OpenAlex

How populations respond to changing environmental conditions is critical to their
\nsurvival. Organisms can respond adaptively to new environmental conditions, for example an
\ninvasive predator, by the expression of phenotypic plasticity, or evolution through selection for
\ncertain phenotypes. Lake Simcoe, one of the largest inland lakes in Ontario, has been invaded by
\nseveral non-native species, including the zooplanktivore Bythotrephes cederstroemii, which is
\nnative to north-central Europe and Asia. To investigate whether the arrival of Bythotrephes
\nand/or increase of Epischura abundance contributed to the zooplankton shifts observed in Lake
\nSimcoe in the mid-1990s, we conducted two laboratory experiments. Firstly i) a live predation
\nexperiment to assess prey vulnerability and consumptive effects of each predator and ii) a
\nphototactic response experiment to assess differences in phototactic behaviour when prey
\nencounter the presence or absence of each predator cue. We found that bosminids were more
\nvulnerable than daphniids to Bythotrephes and Epischura predation and that all prey responded
\nto specific predator cue by altering their phototactic behaviour. Our predation results aligned
\nwith the observed abundance changes in Lake Simcoe for some species, however they were
\nopposite to the abundance changes for others. Our phototactic results demonstrated that all
\nspecies are capable of changing their behaviour in response to predators, but in Lake Simcoe
\nother factors could be contributing to the observed changes. Although these results only explain
\nsome of the observed changes in Lake Simcoe, they provide predictive insight into how future
\ninvasion sites may respond to an invasive predator.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.609
Threshold uncertainty score1.000

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 head0.003
GPT teacher head0.187
Teacher spread0.184 · 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.

Study designNot applicable
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

Citations0
Published2021
Admission routes1
Has abstractyes

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