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Record W4409359783 · doi:10.1139/dsa-2024-0047

Preliminary effects of UAS angle of approach on escape responses of a large-bodied raptor

2025· article· en· W4409359783 on OpenAlex
Morgan B. Pfeiffer, Joshua L. Hoblet, Bradley F. Blackwell, Esteban Fernández‐Juricic

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.

venuePublished in a venue whose home country is Canada.
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

VenueDrone Systems and Applications · 2025
Typearticle
Languageen
FieldEngineering
TopicBiomimetic flight and propulsion mechanisms
Canadian institutionsnot available
FundersFederal Aviation Administration
KeywordsDroneAeronauticsComputer scienceBiologyEngineering

Abstract

fetched live from OpenAlex

Animal responses to unoccupied aircraft systems (UAS) can be exploited to reduce human-wildlife conflicts. We investigated how same-level UAS approaches (0°) would be perceived by Turkey Vultures ( Cathartes aura; “vultures”) compared to stoop approaches (20° descent 50 m away) given the directness of the approach. We measured the % of animals that escaped, escape time, flight-initiation distance horizontally and diagonally, vulture remaining index (index of the number of vultures remaining after treatment by the number present before), and latency to return by vultures at a landfill in response to UAS approaches. All vultures exposed to same-level approaches escaped on the first approach, whereas escape occurred in 73% of stoop approaches. When vultures escaped, they did so 1.69 s faster and over 11 and 15 m greater horizontal and diagonal escape distances when exposed to stoop approaches. Vultures exposed to stoop approaches showed over 31 min longer latencies. Our results, though limited by sample size, indicate that stoop approaches might pose greater perceived risk to vultures.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.343
Threshold uncertainty score0.296

Codex and Gemma teacher scores by category

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

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 head0.006
GPT teacher head0.224
Teacher spread0.218 · 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