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Record W1972589594 · doi:10.1366/000370206778061995

The Brass Light Pipe: An Easy Way to Obtain Infrared Spectra of Liquid Films and Monolayers

2006· article· en· W1972589594 on OpenAlexaff
Pascal Larouche, Jean-Joseph Ma×, Camille Chapados

Bibliographic record

VenueApplied Spectroscopy · 2006
Typearticle
Languageen
FieldChemistry
TopicSpectroscopy and Laser Applications
Canadian institutionsUniversité du Québec à Trois-Rivières
Fundersnot available
KeywordsMonolayerAttenuated total reflectionInfraredInfrared spectroscopyDodecanolChemistrySpectral lineBrassReflection (computer programming)Analytical Chemistry (journal)DecaneMaterials scienceOrganic chemistryOpticsPhysics

Abstract

fetched live from OpenAlex

We describe a brass light pipe (LP) mounted in a cylindrical optical accessory for attenuated total reflection (ATR) that can be used to readily obtain the infrared spectra of liquids and monolayers. As examples, we show the LP spectra of isooctane, decane, dimethyl malonate, dodecanol, dodecanethiol, and acetic acid and compare them to those obtained by transmission as well as by ATR. In addition, we utilize a dodecanethiol monolayer spectrum to illustrate the sensitivity of the LP scheme.

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)0.001
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: Methods · Consensus signal: Methods
Teacher disagreement score0.010
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0020.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0100.008

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 head0.005
GPT teacher head0.234
Teacher spread0.229 · 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
GenreMethods

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

Citations2
Published2006
Admission routes1
Has abstractyes

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