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Record W7165008519 · doi:10.21199/wb36.4.5

NOTES: FIRST NESTING RECORD OF THE BLACK-BELLIED WHISTLING-DUCK ON THE BAJA CALIFORNIA PENINSULA, MEXICO

2005· article· W7165008519 on OpenAlexaboutno aff
Luis Sauma, Roberto Carmona, Georgina Brabata

Bibliographic record

VenueWestern Birds · 2005
Typearticle
Language
FieldEnvironmental Science
TopicAvian ecology and behavior
Canadian institutionsnot available
Fundersnot available
KeywordsPeninsulaRange (aeronautics)MarshSubtropicsWetlandYucatan peninsula

Abstract

fetched live from OpenAlex

The Black-bellied Whistling-Duck (Dendrocygna autumnalis) ranges from the southern United States to northwestern Peru, Argentina, and Brazil, occupying lakes and shallow freshwater marshes in the tropical and subtropical zones (A.O.U. 1998). It is a largely nocturnal species that often forms small groups, nests at heights of up to 3 m in large trees, and feeds on aquatic plants, cultivated grains, and seeds (Alsop 2001). Although the species is generally nonmigratory, extralimital records (some of which probably involve escapees) are scattered across the United States to southern Canada, as well as parts of Mexico outside of the normal range (James and Thompson 2001). The Baja California Peninsula is not part of the Black-bellied Whistling-Duck’s historical range (Grinnell 1928, Wilbur 1987), but Howell and Webb (1992) reported one at San José del Cabo in June 1999, Carmona et al. (1999) reported four at Lagunas de Chametla, within the city of La Paz (11 and 12 December 1997; 14 February and 4 March 1998), and Erickson et al. (2001) reported additional sightings at both locations from 1992 to 1998. This paper updates the species’ status in La Paz since that time and documents the first breeding records for the peninsula.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient 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 score0.026
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.008

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 head0.026
GPT teacher head0.239
Teacher spread0.213 · 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

Citations0
Published2005
Admission routes1
Has abstractyes

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