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Record W6959366245 · doi:10.7910/dvn/76oqvs

KAIRA riometer data 13-14 November 2012

2024· dataset· en· W6959366245 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.

Bibliographic record

VenueHarvard Dataverse · 2024
Typedataset
Languageen
FieldAgricultural and Biological Sciences
TopicPolysaccharides Composition and Applications
Canadian institutionsNatural Resources Canada
Fundersnot available
KeywordsRiometerZenithAbsorption (acoustics)Column (typography)Range (aeronautics)High resolution

Abstract

fetched live from OpenAlex

Kaira riometer data for 13-14 November 2012. During the period studied, all the receiver beamlets pointed along the zenith direction and collected data for 244 frequencies distributed between 9.765625 MHz and 81.0546875 MHz at a 1-second resolution. Frequency resolution was 0.391 MHz, except for the range 33.59375 to 57.2265625 MHz where it dropped to 0.195 MHz. Data were downsampled to a 1-minute resolution. File freq.csv is a list of all frequencies. Absorption is contained in AdB.csv where each contains the time series of absorption for each frequency corresponding to freq.csv and column is the absorption at a specific time for each frequency. Time resolution is one minutes, so there are 2880 columns (one for each of the 2-day period).

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 categoriesInsufficient 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 score0.482
Threshold uncertainty score0.882

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0020.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.1190.601

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 head0.043
GPT teacher head0.265
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