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Record W2980839820 · doi:10.3389/frym.2019.00125

Discovering the Mysterious Spawning Habits of the Threatened Cowichan Lake lamprey

2019· article· en· W2980839820 on OpenAlexaffabout
Joy Wade, Lindsay Dealy, Sean MacConnachie

Bibliographic record

VenueFrontiers for Young Minds · 2019
Typearticle
Languageen
FieldEnvironmental Science
TopicFish Ecology and Management Studies
Canadian institutionsFisheries and Oceans Canada
Fundersnot available
KeywordsLampreyThreatened speciesHabitatFisheryFish <Actinopterygii>EcologyBiologyLampetraGeography

Abstract

fetched live from OpenAlex

The Cowichan Lake lamprey, a parasitic fish discovered in the 1980s, is listed as a threatened species under Canada’s Species at Risk Act. Since its discovery, there have been very few studies to understand the biology and habitat needs of the animal. This is partially because Cowichan Lake lamprey are hard to study; they are small, hide well, and are mostly active at night. Because they are a protected species, we still must make decisions to help ensure their survival. We know very little about the animal, but we have started conducting studies to unravel the mystery of the Cowichan Lake lamprey. This study describes one such discovery. For the first time, we have observed spawning and nest building. We have also begun to answer questions about what kind habitat the lamprey needs for spawning. Building on this discovery, we will keep working to answer other questions that will aid the conservation of the Cowichan Lake lamprey and its habitat.

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.971
Threshold uncertainty score0.059

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.005
GPT teacher head0.182
Teacher spread0.178 · 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

Citations0
Published2019
Admission routes2
Has abstractyes

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