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Record W7096825759

Purposes: peregrine falcon (Falco peregrinus) 1. Name and address of the owner and manager of the captive breeding operation:

2015· article· en· W7096825759 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEnvironmental Science
TopicAvian ecology and behavior
Canadian institutionsnot available
Fundersnot available
KeywordsCaptivityFalconCaptive breedingWildlifePeregrinusBreeding pairStock (firearms)
DOInot available

Abstract

fetched live from OpenAlex

of parental breeding stock: All peregrine parental stock was bred in captivity in the United States between 1996 and 2007, with the exception of one male and one female peregrine imported into the United States from Canada in 2003 and 2004. The list of parental breeding stock is attached (Attachment 1). The operation maintains 14 founders (7.7). All parental stock was imported, purchased, transferred, or bred by the applicant. Each parent has a closed U.S. Fish and Wildlife Service (USFWS) leg band, or a Canadian leg band for the imported birds. 5. Range State evidence that parental stock was obtained in accordance with the relevant national laws: The range of the peregrine falcon extends into the United States. Falco peregrinus anatum ranges from Canada to northern Mexico. Falco peregrinus pealei is found along the coastal Pacific Northwest from Washington to western Alaska (White et al. 2002). The applicant has been licensed by the USFWS as a breeder of peregrine falcons, gyrfalcons, and hybrids since 1997 (license number: MB834663-0), as well as being licensed as a master falconer (license number: MB695833-0). With the exception of a male and a female peregrine imported from Canada (specimen numbers CW011535 and CX011252), the peregrine parental stock was acquired from other USFWS-licensed raptor breeders/falconers in the United States. All parental specimens are captive bred in the U.S. or Canada.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.186
Threshold uncertainty score0.621

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0020.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.1860.101

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 head0.024
GPT teacher head0.228
Teacher spread0.204 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2015
Admission routes1
Has abstractyes

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