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Intrinsic Particle Properties from Vibrational Spectra of Aerosols

2008· article· en· W2148189204 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueAnnual Review of Physical Chemistry · 2008
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicAtmospheric chemistry and aerosols
Canadian institutionsUniversity of British Columbia
FundersNatural Sciences and Engineering Research Council of CanadaWestern Canada Research GridAlfred P. Sloan Foundation
KeywordsInfrared spectroscopyAerosolInfraredSpectral lineExtinction (optical mineralogy)SpectroscopyParticle (ecology)Materials scienceChemical physicsComputational physicsStatistical physicsPhysicsOpticsMeteorologyQuantum mechanicsGeology

Abstract

fetched live from OpenAlex

The spectroscopy of aerosols is developing into an active and important field. It allows us to characterize aerosols in a nonintrusive way, in real time, and on site. Understanding the spectroscopic features of these highly complex systems requires the development of novel experimental as well as theoretical methods. This review focuses on infrared extinction spectra. The main goal is to summarize how information about intrinsic particle properties (such as size, shape, and architecture) can be gathered from observed spectroscopic patterns. We discuss the limitations of standard continuum approaches, which have been used for decades to analyze infrared spectra, and we demonstrate the importance of molecular models for the analysis of spectroscopic data.

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.

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 categoriesInsufficient payload (model declined to judge)
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 score0.020
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.016
GPT teacher head0.219
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