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Record W3208132331 · doi:10.15446/caldasia.v43n2.84687

Primeros registros de elefantes marinos en el Pacífico colombiano: ¿Elefantes marinos del sur, <i>Mirounga leonina</i>?

2021· article· es· W3208132331 on OpenAlexaff
Isabel Cristina Ávila, Gustavo Alberto Trujillo, Juan José Alava

Bibliographic record

VenueCaldasia · 2021
Typearticle
Languagees
FieldEnvironmental Science
TopicMarine animal studies overview
Canadian institutionsUniversity of British ColumbiaFisheries and Oceans Canada
Fundersnot available
KeywordsHumanitiesGeographyArt

Abstract

fetched live from OpenAlex

Se registraron los primeros avistamientos de elefantes marinos, probablemente elefantes marinos del sur, Mirounga leonina, en la costa Pacífica de Colombia. Un juvenil macho fue registrado en las playas de Piangüita y Magüipi (Valle del Cauca), del 23 al 25 de enero de 2018. Días después, el 22 de febrero de 2018, se reportó un juvenil macho, aparentemente el mismo individuo, más al norte en la playa de Guachalito (Chocó). Luego, entre el 29 de diciembre de 2019 y el 20 de enero 2020, en la playa de El Medio, desembocadura del río Yurumanguí (Valle del Cauca), se avistó un grupo de tres individuos subadultos; este avistamiento fue confirmado el 3 de enero de 2020, al registrar un individuo subadulto macho aparentemente en buena condición corporal. También fue registrado un individuo subadulto en estado avanzado de descomposición en el río Guapi el 8 de enero 2021. Estos registros están dentro de los más septentrionales para M. leonina con un desplazamiento de entre 5000 8000 Km desde su ámbito de distribución normal que comprende el sur de Chile y Antártida. La presencia del elefante marino en Colombia no había sido documentada y su arribo pudo deberse a búsqueda de alimento, así como el impacto del ENOS y cambios ambientales en el océano del sur.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient 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 score0.275
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0020.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.002

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 head0.011
GPT teacher head0.242
Teacher spread0.231 · 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

Citations4
Published2021
Admission routes1
Has abstractyes

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