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Assessment of Kp=9 Geomagnetic Storms Including the May 2024 “Gannon Storm” Based on Version 3.0 Hpo Indices

2024· preprint· en· W4401420082 on OpenAlexfundno aff
Yosuke Yamazaki, Jürgen Matzka, Marcos Vinicius Siqueira da Silva, Guram Kervalishvili, Monika Korte, Jan Rauberg

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEarth and Planetary Sciences
TopicEarthquake Detection and Analysis
Canadian institutionsnot available
FundersGoddard Space Flight CenterDanmarks Tekniske UniversitetNatural Resources CanadaSveriges Geologiska UndersökningBritish Geological SurveyU.S. Geological SurveyNational Aeronautics and Space Administration
KeywordsStormGeomagnetic stormEnvironmental scienceClimatologyAtmospheric sciencesMeteorologyEarth's magnetic fieldGeologyGeographyPhysics

Abstract

fetched live from OpenAlex

Key Points:• The Hpo geomagnetic activity index is an alternative to the Kp and Dst indices for assessing severe geomagnetic storms.• The first assessment of Kp=9 geomagnetic storms during 1985-2024 is presented based on the new version (V.3.0) of Hpo.• The May 2024 Gannon storm is one of the most intense geomagnetic storms since 1985 in various measures based on Hpo.

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)0.001
metaresearch head score (Gemma)0.002
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.021
GPT teacher head0.272
Teacher spread0.251 · 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

Citations8
Published2024
Admission routes1
Has abstractyes

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