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Record W4281613093 · doi:10.55632/pwvas.v94i1.930

Conservation and Taxonomic Assessment of an Undescribed Crayfish in Coastal Virginia

2022· article· en· W4281613093 on OpenAlexaboutno aff
Alyssa N. Oppedisano

Bibliographic record

VenueProceedings of the West Virginia Academy of Science · 2022
Typearticle
Languageen
FieldEnvironmental Science
TopicCrustacean biology and ecology
Canadian institutionsnot available
Fundersnot available
KeywordsCrayfishEcologyCoastal plainRange (aeronautics)BiodiversityPopulationGeographyBiology

Abstract

fetched live from OpenAlex

Creaserinus fodiens (Cottle 1863), commonly known as the digger crayfish, is a primary burrower that inhabits complex burrows in wetlands, seasonal pools, wooded floodplains, and roadside ditches. Historically, C. fodiens have been found from Ontario, Canada following the United States down to Texas and across four Atlantic slope states including Virginia, Maryland, North Carolina, and South Carolina. The Atlantic slope clades are geographically isolated from other C. fodiens populations by the continental shelf on the East coast and by the Blue Ridge Mountains. Despite having a wide geographical range, little research has been done on the Atlantic slope clades of Creaserinus spp. Recent genetic and morphological data suggests that the Virginia population of C. fodiens could be described as a different species. Additional morphological and genetic data from gill samples will lead to a better understanding of where the separation in classification lies among the Virginia population. A conservation and taxonomic assessment for Creaserinus fodiens along the Virginia Atlantic slope will be constructed from the results. These assessments will contribute to our understanding of global crayfish biodiversity and provide important biological insight to the management and conservation of these species.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.359
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.004
Scholarly communication0.0000.001
Open science0.0010.001
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 head0.016
GPT teacher head0.263
Teacher spread0.246 · 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 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
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueProceedings of the West Virginia Academy of ScienceSame topicCrustacean biology and ecologyFrench-language works237,207