MétaCan
Menu
Back to cohort
Record W2019919221 · doi:10.1080/01431161.2012.661097

Application of Autoscala software to the Canadian Advanced Digital Ionosonde

2012· article· en· W2019919221 on OpenAlexaffabout
Carlo Scotto, J. W. MacDougall

Bibliographic record

VenueInternational Journal of Remote Sensing · 2012
Typearticle
Languageen
FieldPhysics and Astronomy
TopicIonosphere and magnetosphere dynamics
Canadian institutionsWestern University
Fundersnot available
KeywordsIonosondeReliability (semiconductor)Computer scienceSoftwareScalingRadio ScienceRemote sensingMathematicsGeologyElectron densityPhysicsIonosphereElectronOperating systemGeophysics

Abstract

fetched live from OpenAlex

Autoscala, a computer program for the automatic scaling of ionograms, was applied to the Canadian Advanced Digital Ionosonde (CADI). The reliability of the system was tested in different conditions, in terms of reliability of automatically scaled ‘foF2’ values and electron density profiles. In order to test the reliability of the automatic scaling of foF2, the data obtained manually by a well-experienced operator were used as a reference. A value within ±0.5 MHz of the manual value was considered acceptable, which was in line with the International Union of Radio Science (URSI) limits of ±5Δ (Δ is the reading accuracy). The satisfactory performance of the software was demonstrated.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.993
Threshold uncertainty score0.853

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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.005
GPT teacher head0.236
Teacher spread0.231 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
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

Citations7
Published2012
Admission routes2
Has abstractyes

Explore more

Same venueInternational Journal of Remote SensingSame topicIonosphere and magnetosphere dynamicsFrench-language works237,207