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Record W2282278823 · doi:10.1177/0309524x16642082

Computational modeling of wind flow over the University of Calgary campus

2016· article· en· W2282278823 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueWind Engineering · 2016
Typearticle
Languageen
FieldEnvironmental Science
TopicWind and Air Flow Studies
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsRoofTerrainUniversity campusWind speedWind powerTurbulenceMeteorologyMarine engineeringEnvironmental scienceComputational fluid dynamicsResource (disambiguation)Wind directionWind engineeringFlow (mathematics)Architectural engineeringCivil engineeringEngineeringComputer scienceAerospace engineeringGeographyCartography

Abstract

fetched live from OpenAlex

This paper describes computer simulations of the wind flow over the University of Calgary campus undertaken to assess the likely regions for siting wind turbines and photovoltaic modules. The importation and cleaning of the building geometries is discussed along with the requirements for modeling adjacent buildings on the accurate simulation over one building in particular. The effect of the terrain and the many trees on the campus is shown to be significant for the wind resource over the roof of a six-storey building. It is shown that the choice of turbulence model is not critical if the purpose of the simulation is to identify regions for further exploration via wind speed measurements.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.071
Threshold uncertainty score0.192

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 head0.005
GPT teacher head0.159
Teacher spread0.154 · 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