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Record W4386691974 · doi:10.1063/10.0020601

Conformational analysis of simple oxygenated hydrocarbons in a solid parahydrogen matrix

2023· article· en· W4386691974 on OpenAlexaff
Chloe Yan, Alexandra McKinnon, Brendan Moore, Kyle Mahoney, Pavle Djuricanin, Takamasa Momose

Bibliographic record

VenueLow Temperature Physics · 2023
Typearticle
Languageen
FieldChemistry
TopicSpectroscopy and Laser Applications
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsPropionaldehydeMatrix isolationMoleculeSpin isomers of hydrogenInfrared spectroscopyPhotodissociationPhotochemistryChemistryGlycolaldehydeConformational isomerismInfraredSpectroscopyAcetaldehydeHydrogenOrganic chemistryPhysics

Abstract

fetched live from OpenAlex

Acetone, acetaldehyde, propylene oxide, propionaldehyde, and 2-propanol are all simple oxygen-containing organic molecules, and play an important role in combustion chemistry, atmospheric chemistry, and astrochemistry. These small molecules are often produced by chemical reactions or UV photolysis of larger molecules containing oxygen atoms. Thus, knowing the IR spectrum of these molecules is important for the identification of (photo)chemical processes of various molecules. In this study, the IR spectra of these five common organic molecules were studied using parahydrogen (pH2) matrix isolation with Fourier transform infrared spectroscopy. Conformational analysis of the IR spectra revealed two conformers of propionaldehyde and 2-propanol exist in the pH2 matrix at 3.8 K. This work will be useful for the identification of products in future pH2 photochemistry experiments.

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 score0.005

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 head0.008
GPT teacher head0.287
Teacher spread0.279 · 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

Citations1
Published2023
Admission routes1
Has abstractyes

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