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Microsatellite loci from red sea urchins (<i>Strongylocentrotus franciscanus</i>)

2004· article· en· W2011790532 on OpenAlexaff
Kristina M. Miller, Karia H. Kaukinen, Karen Laberee, K. Janine Supernault

Bibliographic record

VenueMolecular Ecology Notes · 2004
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicMarine and coastal plant biology
Canadian institutionsFisheries and Oceans Canada
Fundersnot available
KeywordsMicrosatelliteBiologyLocus (genetics)PopulationFisheryZoologyKeystone speciesAlleleEcologyGeneticsHabitatGeneDemography

Abstract

fetched live from OpenAlex

Abstract Strongylocentrotus franciscanus is a keystone marine herbivore in the Pacific North West of North America, that is commercially harvested for its roe in wild fisheries and is under development as an aquaculture species. We report the development of 11 novel, highly polymorphic di‐ and trinucleotide loci for use in population studies of this species. In a survey of over 200 individuals from three coastal sites in British Columbia, observed heterozygosities of the loci ranged from 0.39 to 0.85 and an average of 26 alleles per locus were resolved. Seven of the 11 microsatellite loci were in Hardy–Weinburg equiulibruim (HWE).

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.032

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 head0.006
GPT teacher head0.184
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 designBench or experimental
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

Citations8
Published2004
Admission routes1
Has abstractyes

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