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Record W1537553678 · doi:10.54782/jwm.v17i1.110

Airflow And Droplet Trajectory Model to Determine Sensor Placement On Cloud Physics Research Aircraft

2012· article· en· W1537553678 on OpenAlexaboutno aff
Myron Oleskiw, K. L. Grandia, R. C. Rudolph

Bibliographic record

VenueThe Journal of Weather Modification · 2012
Typearticle
Languageen
FieldEngineering
TopicFluid dynamics and aerodynamics studies
Canadian institutionsnot available
FundersUniversity of Cambridge
KeywordsTrajectoryDragAirflowVorticityMeteorologyFlow (mathematics)Flux (metallurgy)Vorticity equationPhysicsAerospace engineeringCloud computingMechanicsEnvironmental scienceSimulationVortexComputer scienceEngineering

Abstract

fetched live from OpenAlex

In 1981 INTERA Technologies Ltd. and the Alberta Research Council entered into a joint development of a research aircraft facility. A two dimensional airflow and droplet trajectory model was used to determine the best practicable location for mounting imaging probes. The model used a distributed vorticity method to find the potential flow solution about the aircraft silhouette. A non-dimensional equation was developed to model droplet trajectories. A number of drag formulations were investigated. A discussion of the significance of the droplet mass flux corrections factor is also presented.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.010
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.075
GPT teacher head0.300
Teacher spread0.226 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

Citations2
Published2012
Admission routes1
Has abstractyes

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