MétaCan
Menu
Back to cohort
Record W4308527095 · doi:10.1038/s41612-022-00312-z

Faint yet widespread glories reflect microphysics of marine clouds

2022· article· en· W4308527095 on OpenAlexaff
Ilan Koren, A. B. Kostinski, Uri Wollner, D. Dubrovin

Bibliographic record

Venuenpj Climate and Atmospheric Science · 2022
Typearticle
Languageen
FieldEnvironmental Science
TopicAtmospheric aerosols and clouds
Canadian institutionsSchwartz/Reisman Emergency Medicine Institute
FundersEuropean CommissionNational Science Foundation
KeywordsGloryAtmosphere (unit)SatellitePhysicsAtmospheric sciencesGeographyAstrophysicsMeteorologyAstronomyOptics

Abstract

fetched live from OpenAlex

Abstract Glory is a beautiful optical phenomenon observed in an atmosphere as concentric colored rings reflected by clouds or fog around an antisolar point. Here we report that true color glories, although faint, are discernible in raw unpolarized satellite images by a naked eye on a daily basis, thus constituting a large and untapped reservoir of cloud data for which a simple diffraction-like approximation links cloud droplet diameter and variance to the glory’s structure.

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)0.000
metaresearch head score (Gemma)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.007
GPT teacher head0.224
Teacher spread0.217 · 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

Citations3
Published2022
Admission routes1
Has abstractyes

Explore more

Same venuenpj Climate and Atmospheric ScienceSame topicAtmospheric aerosols and cloudsFrench-language works237,207