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Record W3037961500 · doi:10.1039/d0cc02737e

The wavelength-dependent optical properties of weakly absorbing aqueous aerosol particles

2020· article· en· W3037961500 on OpenAlexafffund
Alison Bain, Thomas C. Preston

Bibliographic record

VenueChemical Communications · 2020
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicAtmospheric chemistry and aerosols
Canadian institutionsMcGill University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsAerosolWavelengthAqueous solutionParticle (ecology)ChemistryMoleculeRefractive indexAnalytical Chemistry (journal)Materials scienceEnvironmental chemistryOptoelectronicsPhysical chemistryOrganic chemistry

Abstract

fetched live from OpenAlex

The refractive index (RI) is a key quantity in calculating many aerosol properties required for climate models. To accurately describe the RI of aerosol, the wavelength and temperature dependence as well as the variation with aerosol water content must be considered. Aside from water, aged ambient aerosol can contain both inorganic salts and a myriad of organic molecules. Determining the optical properties of each organic molecule and their contribution to the aerosol as a whole would be an incredibly time consuming and, in many cases, intractable task. Using single aerosol particle spectroscopy measurements and an effective oscillator model, we are able to measure parameters that can be used to accurately calculate the wavelength-dependent RI of mixed organic-inorganic aqueous aerosol particles. Measured oscillator parameters are presented for a number of atmospherically relevant inorganic ions and surrogate organic species. Finally, the effect of temperature on the oscillator parameters is investigated.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0010.000

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 head0.051
GPT teacher head0.226
Teacher spread0.174 · 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 designBench or experimental
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

Citations20
Published2020
Admission routes2
Has abstractyes

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