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Record W4319262037 · doi:10.1016/s2666-6367(23)00653-x

Business in the Pre-COVID Vs Post-COVID Era

2023· article· en· W4319262037 on OpenAlexaboutno aff
Ms. Chris Boatner

Bibliographic record

VenueTransplantation and Cellular Therapy · 2023
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicEarthquake Detection and Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsIonosondeIonosphereDepth soundingGeophysicsAeronomyGeologyMeteorologyAtmospheric sciencesPhysicsPlasmaElectron densityOceanography

Abstract

fetched live from OpenAlex

A digital ionosonde of the type known as Canadian Advanced Digital Ionosonde (CADI) is operational at Jatai (17.2oS,51.9oW), Brazil. This ionospheric sounding station is located under the equatorial ionospheric anomaly crest. The F-layer electron density profile presents considerable day-to-day variability, even during the undisturbed conditions, and is still one of the less understood aspects of the physics of the ionosphere. The propagation of waves into the ionosphere may be playing an important role in this day-to-day ionospheric variability. In this paper we used the multifractal approach in order to understand the physical process underlying to rise to plasma bubbles. Results shown that the ionosphere layer is in out-of equilibrium, independent of the presence or not of the planetary waves (PW), equatorial plasma bubbles (EPBs) or another ones. Wavelet techniques are also used to investigate the action of these plasma bubbles over the planetary waves.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.023
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0010.002
Scholarly communication0.0060.003
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.002

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 head0.015
GPT teacher head0.224
Teacher spread0.209 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2023
Admission routes1
Has abstractyes

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