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Record W2748195706 · doi:10.15468/lns1qm

University of Michigan Museum of Zoology, Division of Birds

2013· article· en· W2748195706 on OpenAlexaboutno aff

Bibliographic record

VenueGlobal Biodiversity Information Facility · 2013
Typearticle
Languageen
FieldEnvironmental Science
TopicAvian ecology and behavior
Canadian institutionsnot available
Fundersnot available
KeywordsGeographyArchaeologyZoologyLibrary scienceBiologyComputer science

Abstract

fetched live from OpenAlex

Through the efforts of University of Michigan faculty-curators and staff, the Museum of Zoology (UMMZ) develops and maintains excellent zoological collections explicitly for use in research and education benefiting science, society, and the university. The faculty staff and various graduate students of the Birds Division conduct research on the phylogenetic relationships, evolution and behavior of a wide variety of birds using museum collections, molecular techniques, and captive and field studies. The skins collection consists of approximately 176,000 specimens (6th largest in North America; about 2/3 of the species of the world), housed in 224 cases (133 double, 190 single, 1 triple), approximately 5000 sq. feet. In addition to study skins, the collection also includes other special preparations such as 1457 flat pelts and 636 spread wings and tails. The skin collection contains 317 holotypes and 3 lectotypes. These are not available for loan. An annotated list is available (UMMZ Misc. Publ. No. 174, R. W. Storer, 1988). A list and images of our types are available electronically. Extinct species are represented also. The skeletons collection represents approximately 23,800 specimens, 3,500 species (4th largest in the world in number of specimens, 2nd in number of species after the U.S. National Museum) stored in 60 cases, approximately 700 sq. feet. The only families missing are: Mesoenatidae, Rhynochetidae, Dromadidae, Leptosomatidae, Oxyrunchidae, Acanthisittidae, Atrichornithidae, Hyposittidae, and Callaeidae. About 1/2 of the skeleton specimens are from the United States. Other geographic areas for which we have larger collections include: Argentina (830), Australia (485), Canada (435), Costa Rica (1000), Egypt (1000), Ghana (490), Mexico (650), New Caledonia (140), Paraguay (1160), Philippines (340), Surinam (370), and Tanzania (340). Additional collections include: Eggs and nests: 4,600 egg sets and 573 nests in 26 cases. Fluid collection: 4,250 specimens (18th largest in the world), 464 linear feet of shelving and 27 linear feet of floor space for tanks. Also available are 1100 fluid preserved syrinxes. Frozen tissues: Samples from about 4,800 individuals stored in an ultra-cold freezer.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.997

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 studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.004

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 head0.173
Teacher spread0.167 · 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; both teacher heads agree on what is shown here.

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

Citations2
Published2013
Admission routes1
Has abstractyes

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