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Record W7145798644

CDF data of VLF/ELF measurements at Athabasca, Canada

2016· dataset· en· W7145798644 on OpenAlexaboutno aff
Kazuo Shiokawa, Mitsunori Ozaki, ISEE IUGONET Metadata Management Group

Bibliographic record

VenueInstitutional Repositories DataBase (IRDB) · 2016
Typedataset
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsSampling (signal processing)Channel (broadcasting)Antenna (radio)Sensitivity (control systems)Frequency spectrumNoise (video)
DOInot available

Abstract

fetched live from OpenAlex

CDF Data of ISEE VLF/ELF antenna observation at Athabasca, Canada cooperated by the Athabasca University. 9min50s spectrum is available in every 10 min. The sampling frequency is 100 kHz and the sensitivity has a peak at 8 kHz from February 19, 2012 to November 11, 2015. There are no data from February 27 to September 22, 2012 due to noisy operation near the AUGSO building. The sampling frequency was reduced from 100 kHz to 40 kHz at 05:30 UT on November 12, 2015. The channel is reduced from 4ch to 3ch at 23:50 UT on October, 2016 (riometer channel is removed). Only one channel (VLF-EW): N-S antenna measuring east-west magnetic field variation.

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)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Open science, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient 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 score0.098
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.002
Open science0.0060.007
Research integrity0.0010.001
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 head0.297
Teacher spread0.222 · 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
Published2016
Admission routes1
Has abstractyes

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