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Record W2565091806

Preliminary Reports of Summer Sprite Observation Campaign at Summit of Mt. Fuji, Japan

2014· article· en· W2565091806 on OpenAlexaff
Yuko Suzuki, Tomoyuki Suzuki, Masashi Kamogawa

Bibliographic record

VenueJapan Geoscience Union · 2014
Typearticle
Languageen
FieldPhysics and Astronomy
TopicLightning and Electromagnetic Phenomena
Canadian institutionsDigital Payment Technologies (Canada)
Fundersnot available
KeywordsSprite (computer graphics)Upper-atmospheric lightningSummitPeninsulaMeteorologyLow-pressure areaGeologyClimatologyThunderstormEnvironmental scienceGeographyPhysical geographyLightning strikeAtmospheric pressure
DOInot available

Abstract

fetched live from OpenAlex

An isolated-mountain observation was conducted at the summit of Mt. Fuji (3776 m), Japan, to detect transient luminous events (TLEs) off the coast of the Boso Peninsula, Chiba, and the east coast of Japan. Many TLEs caused by energetic positive cloud-to-ground (+CG) lightning occurred in this region during the summer of 2013. Since the summer clouds covering the ground and ocean are usually located below the summit, a 360° view from the isolated mountain along with low atmospheric pressure and unpolluted air over the summit is expected to facilitate the observation of TLEs and their vivid color images, respectively. We detected several distant TLEs with light-sensitive black-and-while CCD cameras and a color single-lens reflex camera. We analyzed the relationship between a sprite and its parent +CG lightning and storm during this study. Six sprite events were associated with +CG lightning, and their estimated amplitude was 156 ± 76 kA (89-312 kA). Sprites appeared 41.4 ± 29.8 ms after +CG lightning. The +CG lightning with sprites were located in the stratiform precipitation region.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.049
Threshold uncertainty score0.509

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.011
GPT teacher head0.218
Teacher spread0.207 · 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 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

Citations0
Published2014
Admission routes1
Has abstractyes

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