MétaCan
Menu
Back to cohort
Record W2146824128 · doi:10.1366/0003702011953450

Reflection Absorption Infrared Spectra of Thin Solid Films. Molecular Orientation and Film Structure

2001· article· en· W2146824128 on OpenAlexaff
Pedro Antunes, Carlos José Leopoldo Constantino, Ricardo F. Aroca, J. W. Duff

Bibliographic record

VenueApplied Spectroscopy · 2001
Typearticle
Languageen
FieldMaterials Science
TopicLuminescence and Fluorescent Materials
Canadian institutionsUniversity of WindsorXerox (Canada)
Fundersnot available
KeywordsInfrared spectroscopyInfraredAbsorption spectroscopyAnalytical Chemistry (journal)Absorption (acoustics)ChemistryMoleculeThin filmReflection (computer programming)Materials sciencePeryleneAlkylMolecular vibrationPhotochemistryOpticsOrganic chemistryNanotechnology

Abstract

fetched live from OpenAlex

The calculated and observed vibrational spectra of a new series of perylene tetracarboxylic derivatives (PTCDs) with different alkyl lateral chain lengths (5, 10, 15, and 20 C) are reported. With the use of characteristic vibrational modes, the question about the degree of molecular organization and packing in these PTCD evaporated films has been resolved by using transmission and reflection-absorption infrared spectroscopy (RAIRS) techniques. From vibrational analysis, it was extracted that the molecules are preferentially oriented with the PTCD moiety head on the surface substrate. The molecular organization detected (by using RAIRS) in the evaporated films is not changed when the films are exposed to different solvents, such as water, methanol, and propanol, or when they are annealed up to 155 °C under normal atmospheric conditions or in vacuum. Evidence of molecular packing in the evaporated films is also provided by the observation of strong excimer emission.

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 score0.006
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.262
Teacher spread0.255 · 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

Citations41
Published2001
Admission routes1
Has abstractyes

Explore more

Same venueApplied SpectroscopySame topicLuminescence and Fluorescent MaterialsFrench-language works237,207