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Record W7011930580

Noctilucent Clouds From Above and Below

2024· article· en· W7011930580 on OpenAlexaboutno aff

Bibliographic record

VenueDigital Commons - USU (Utah State University) · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicHistorical Geography and Cartography
Canadian institutionsnot available
Fundersnot available
KeywordsMesopauseSatellitePolarAtmosphere (unit)BrightnessLatitudeMesosphereSouthern Hemisphere
DOInot available

Abstract

fetched live from OpenAlex

Noctilucent or 'night shining" Clouds (NLCs) are tenuous ice clouds that form in the extremely cold (< 140 K) high-latitude summer mesopause region (80-85 km). From the ground they are viewable at latitudes typically ranging from 50° to 65° and occur in both the northern and southern polar regions. Seen from above by satellites NLC are known as Polar Mesospheric Clouds (PMCs). Importantly, in recent decades, satellite data have shown that their occurrence frequency and brightness have increased measurably (Deland et al., 2007), raising speculation concerning their role as indicators of significant changes in climate in the upper atmosphere (Thomas, 1996). To help integrate these data sets we have compared satellite observations with NLC data collected from the ground during two campaigns conducted in Canada (June 30-July 17) and Alaska (July 29-August 17) respectively during the summer of 2007. Here we present the first detailed comparison of satellite and ground-based optical measurements of these clouds to investigate their temporal and spatial extent.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.962
Threshold uncertainty score0.610

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 studies0.0010.000
Scholarly communication0.0000.001
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 head0.214
Teacher spread0.203 · 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 designNot applicable
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
Published2024
Admission routes1
Has abstractyes

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