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Record W6950725963 · doi:10.5683/sp2/o0xboq

GPAZ Yorkton Station Data July 1, 2019 to Oct 1, 2019

2020· dataset· en· W6950725963 on OpenAlexaff

Bibliographic record

VenueBorealis · 2020
Typedataset
Languageen
FieldEnvironmental Science
TopicRadioactive contamination and transfer
Canadian institutionsGreat Plains College
Fundersnot available
KeywordsOzoneWind speedAir pollutionWind directionWeather station

Abstract

fetched live from OpenAlex

NOTE FOR DATA FROM JAN 1, 2019 TO MAY 20, 2020: Ozone measurements from the GPAZ stations were compared to the National Air Pollution Surveillance (NAPS) station located in Regina. The general observation was that the average ozone measurements at the three GPAZ stations dropped below the measurements at the NAPS station at approximately the same time that the daily span values began to decrease. Based upon these observations, it is expected that degrading ozone scrubbers in each of the instruments resulted in measurements that were biased low. It was determined that a correction factor should be applied to the recorded data in order to most accurately reflect actual ozone concentrations at each of the sites for a period of time prior to the ozone scrubbers being replaced. The corrections were based on daily instrument zeros and spans over the same time period. Historical data from July 1, 2019 to Oct 1, 2019 from the Yorkton station. Contains hourly measurements for O3, NO, NO2, NOX, SO2, H2S, CS, FPM, Wind speed, Wind direction, Temperature, BP, RH, and Rain.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.024
Threshold uncertainty score1.000

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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.007

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 head0.026
GPT teacher head0.275
Teacher spread0.248 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreDataset

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
Published2020
Admission routes1
Has abstractyes

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