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Record W4220841479 · doi:10.1364/ome.455405

Attenuation coefficients of selected organic and inorganic solvents in the mid-infrared spectral domain

2022· article· en· W4220841479 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.

Bibliographic record

VenueOptical Materials Express · 2022
Typearticle
Languageen
FieldEngineering
TopicPhotonic and Optical Devices
Canadian institutionsUniversité Laval
FundersBundesministerium für Bildung und ForschungDeutsche Forschungsgemeinschaft
KeywordsAttenuationMaterials scienceInfraredAttenuation coefficientPhotonicsOptofluidicsWavelengthOpticsOptoelectronicsInfrared spectroscopyRefractive indexNanotechnologyMicrofluidicsChemistryOrganic chemistry

Abstract

fetched live from OpenAlex

Knowledge of the light attenuation by a material is essential for any photonic device, while liquids are insufficiently quantified, especially in the mid-infrared range. Here, we present a quantitative spectroscopic study reporting concrete attenuation values of the regions of low attenuation of selected organic and inorganic solvents up to 20 µm that is useful for light transport and nonlinear frequency conversion. In addition to prominent liquids, the study presents CBrCl 3 as a promising candidate for optofluidics. Our study uncovers the potential of these solvents for waveguiding applications at long wavelengths and highlights the importance of careful liquid selection.

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 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 score0.028
Threshold uncertainty score0.666

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)0.0010.000

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 head0.204
Teacher spread0.198 · 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