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Record W7147343175 · doi:10.5281/zenodo.19356561

Bartramia longicauda

2018· article· W7147343175 on OpenAlex
Marina Somenzari, Priscilla Prudente do Amaral, Víctor R. Cueto, André de Camargo Guaraldo, Alex E. Jahn, Diego Mendes Lima, Pedro Cerqueira Lima, Camile Lugarini, Caio Graco Machado, Jaime Martínez, João Luiz Xavier do Nascimento, José Fernando Pacheco, Danielle Paludo, Nêmora Pauletti Prestes, Patrícia Pereira Serafini, Luís Fábio Silveira, Antônio Emanuel Barreto Alves de Sousa, Nathália Alves de Sousa, Manuella Andrade de Souza, Wallace Rodrigues Telino Júnior, Bret Myers Whitne

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2018
Typearticle
Language
FieldMedicine
TopicComparative Animal Anatomy Studies
Canadian institutionsnot available
Fundersnot available
KeywordsAmazon basinAmazon rainforestStructural basinSouthern Hemisphere

Abstract

fetched live from OpenAlex

Bartramia longicauda (MGT): breeds in Alaska, southern Canada and northern USA, and overwinters in Suriname, Paraguay, southern Brazil, northern Argentina and Uruguay (van Gils & Wiersma, 1996). After breeding, it migrates between August and September from central North America to grasslands in central and eastern South America through the Amazon Basin (Capllonch, 2011), where it is recorded in small numbers between October and February on Marchantaria Island/AM and in RO (Stotz et al., 1992). It overwinters in the Pampas in southern Brazil (Di Giácomo & Krapovickas, 2005) and the Pantanal (Morrison et al., 2008). Photographic records associated to literature data suggest the species occurs in all of Brazil between September and April (Belton, 1984; Cintra, 2011; Cintra & Rosas, 2011; d'Horta, 2011; Melo et al., 2011; Nunes et al., 2011; Schunck, 2011a, b; Silva, 2011a, b, c; Vallejos et al., 2011; WikiAves, 2016; MZUSP; MPEG).

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.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.848
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0060.002
Scholarly communication0.0010.000
Open science0.0010.003
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.1270.136

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 head0.068
GPT teacher head0.303
Teacher spread0.235 · 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