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Record W7027697836

Definition of Subpopulations within Mid-continent Sandhill Cranes: A Nuclear Approach

2005· article· en· W7027697836 on OpenAlexaboutno aff

Bibliographic record

VenueLincoln (University of Nebraska) · 2005
Typearticle
Languageen
FieldMedicine
TopicTrypanosoma species research and implications
Canadian institutionsnot available
Fundersnot available
KeywordsSandhillPopulationGene flowContext (archaeology)ArcticGrus (genus)
DOInot available

Abstract

fetched live from OpenAlex

The evolution and population dynamics of migratory sandhill cranes (Grus canadensis) have been the subject of many studies. Although these previous studies have made significant progress explaining sandhill evolution on a large scale, they have been insufficient to explain the geographically partitioned variation in morphology seen in this species. The objective of this study is to quantify the population structure and/or gene flow within and between migratory sandhills using 12 microsatellite DNA loci and 192 samples collected across three populations. Contrary to the lower rates of gene flow seen between the three major migratory populations, high rates of gene flow seen between subpopulations of the mid-continental population that are geographically adjacent indicate that gene flow is clinal from the Arctic Circle south to the US/Canadian border. Taken in context with precise geographical information, the morphologic and microsatellite DNA variation shows that there is a natural gradation from the arctic nesting lesser sandhills to the non-arctic greater sandhills. Analogous to other arctic nesting birds (e.g., marbled murrelets, common guillemot, and Canadian geese), it is likely that the population structure seen in mid-continental sandhill cranes reflects the result of post-glacial secondary contact.

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 score0.040
Threshold uncertainty score0.080

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
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 head0.035
GPT teacher head0.243
Teacher spread0.208 · 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
Published2005
Admission routes1
Has abstractyes

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