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Record W6980818107

Daily activity rhythms of bottlenose dolphins (Tursiops truncatus) on the coast of Dexo

2022· dissertation· gl· W6980818107 on OpenAlexaboutno aff

Bibliographic record

VenueRUC (Universidade Da Coruña) · 2022
Typedissertation
Languagegl
FieldMedicine
TopicBiotechnology and Related Fields
Canadian institutionsnot available
Fundersnot available
KeywordsPeriod (music)RhythmQuarter (Canadian coin)Travel writing
DOInot available

Abstract

fetched live from OpenAlex

[Resumo]: En este traballo de fin de grao (investigación de campo) descríbense os ritmos diarios do arroaz, Tursiops truncatus, nas augas do Golfo Ártabro (A Coruña, NO España). O estudo levouse a cabo mediante a realización de avistamentos dende os cantís situados en 7 puntos da costa de Dexo. Desta forma, obtivemos información sobre a súa actividade diurna, que mostrou un pico pola tarde. En canto ao tamaño da poboación, foron observados un máximo de 30 individuos, aparecendo, polo xeral, divididos en subgrupos. O grupo visualizado máis frecuentemente foi o de 10 a 15 individuos, seguido polo de menor número (entre 1 e 5 individuos). Por outra banda, obtivéronse diferencias estadísticamente significativas entre estacións: os arroaces varían a súa actividade por franxa horaria en función do momento do ano no que se atopan, adiantándoa no outono/inverno frente á primavera. No relativo ao comportamento, dividiuse en 3 patróns: desprazamento, alimentación e socialización/xogo. Así, os resultados indican que Tursiops truncatus se despraza, principalmente, pola mañá, mentres que as seguintes franxas horarias están adicadas, fundamentalmente, á alimentación. Finalmente, tras cazar e alimentarse, pola tarde (antes do atardecer) hai unha alta porcentaxe de socialización e xogo. Atendendo soamente ao desprazamento, tamén se analizou a ruta seguida: direción Oeste nas primeiras horas da mañá e ao comezar a tarde (probablemente para cazar) e direción Este ao atardecer (o interior da ría podería ser un lugar máis tranquilo e seguro para as crías a partir do anoitecer). Ademais disto, analizando os efectos doutros parámetros, obtívose un maior número de avistamentos en outono e inverno que en primavera, con días non soleados, ondada forte e marea baixa (subindo). Pola súa banda, a presenza de barcos parece afectar negativamente a ditas frecuencias. Porén, os resultados obtidos foron estadísticamente non significativos.

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 categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.417
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0050.008
Insufficient payload (model declined to judge)0.0030.000

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 head0.015
GPT teacher head0.251
Teacher spread0.237 · 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 designBench or experimental
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
Published2022
Admission routes1
Has abstractyes

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