MétaCan
Menu
Back to cohort
Record W7033089087

Overhead Gridline Systems to Exclude Waterfowl From Large Bodies of Water

2007· article· en· W7033089087 on OpenAlexaboutno aff

Bibliographic record

VenueUtah State Research and Scholarship (Utah State University) · 2007
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicDispute Resolution and Class Actions
Canadian institutionsnot available
Fundersnot available
KeywordsWaterfowlOverhead (engineering)WildlifeHerringLine (geometry)Overhead lineHerring gullWetland
DOInot available

Abstract

fetched live from OpenAlex

The presence of birds at retention/detention basins on or adjacent to an airport increases the probability of experiencing a wildlife strike. Overhead gridline systems have proven effective for reducing the presence of birds on small water bodies. While there are several line materials available to address bird hazards associated with small basins, the list of options decreases quickly as the distance to be spanned increases. The Michigan Wildlife Services program (WS) tested 4 types of line material on 3 large detention basins to determine which materials could span up to 675 m (2214.5 ft) without center supports. Additionally, the line material could not sag substantially because of water fluctuations of up to 1.5 m (5 ft). If a line would contact the surface of the water, the surface tension would hold it in place reducing the effectiveness and causing potential damage to the grid, especially during freezing and thawing periods. We found that a braided fishing line made of Spectra® fiber called PowerPro proved superior in our tests. We suspended grid lines in perpendicular directions on 30 m (100ft) spacing. Preliminary results show a notable reduction in usage by Canada geese (Branta canadensis), mallards (Anas platyrhynchos), mute swans (Cygnus olor), herring gulls (Larusargentatus) and ring-billed gulls (Larus delawarensis).

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)0.002
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.911
Threshold uncertainty score0.844

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0000.002
Open science0.0000.001
Research integrity0.0000.001
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 head0.057
GPT teacher head0.293
Teacher spread0.236 · 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; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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
Published2007
Admission routes1
Has abstractyes

Explore more

Same venueUtah State Research and Scholarship (Utah State University)Same topicDispute Resolution and Class ActionsFrench-language works237,207