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Record W3173450210 · doi:10.20383/101.010

Fortress Mountain Snow Laboratory, Blowing Snow Camera Measurements, and Wind Velocity Data

2017· article· en· W3173450210 on OpenAlexaboutno aff
Nikolas Aksamit, John W. Pomeroy

Bibliographic record

VenueOpen MIND · 2017
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicCryospheric studies and observations
Canadian institutionsnot available
Fundersnot available
KeywordsSnowAnemometerWind speedWind directionEnvironmental scienceMeteorologyGeologyHydrology (agriculture)Geography

Abstract

fetched live from OpenAlex

These data files include airborne blowing snow density measurements using a portable highspeed camera and 432 nm wavelength laser light plane apparatus. Blowing snow measurements were taken in the first 30 mm above the snow surface. Approx 30 cm away in the spanwise direction across the mean wind direction were two Campbell Scientific CSAT3 sonic anemometers situated on a single mast. The anemometers sampled raw measurements at 50 Hz. The height about snow for the two anemometers (Upper=U, Lower=L) varied throughout the season: 20 Nov 2015: U=150 cm L=20 cm ; 4 Dec 2015: U=170 cm L=40 cm ; Dec 7 2015: U=170 cm L=40 cm ; Feb 3 2016: U=155 cm L=25 cm ; Mar 3 2016: U=140 cm L=10 cm The basin is located in the headwater of Saskatchewan River Basin that provides vital water supplies to the Canadian Prairie Provinces.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.156
Threshold uncertainty score0.310

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0560.018

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 head0.147
GPT teacher head0.319
Teacher spread0.173 · 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 designObservational
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
Published2017
Admission routes1
Has abstractyes

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