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Record W2322531350 · doi:10.1103/physreva.86.062710

Preparation, isolation, storage, and spectroscopic characterization of water vapor enriched in the ortho-H<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:msub><mml:mrow/><mml:mn>2</mml:mn></mml:msub></mml:math>O nuclear spin isomer

2012· article· lv· W2322531350 on OpenAlexafffund
Pierre-Alexandre Turgeon, Patrick Ayotte, Elina Lisitsin, Y Meir, Tatyana Kravchuk, Gil Alexandrowicz

Bibliographic record

VenuePhysical Review A · 2012
Typearticle
Languagelv
FieldPhysics and Astronomy
TopicQuantum, superfluid, helium dynamics
Canadian institutionsUniversité de Sherbrooke
FundersNatural Sciences and Engineering Research Council of CanadaNational Science Council
KeywordsPhysicsKryptonMoleculeMatrix isolationPolarization (electrochemistry)Atomic physicsAnalytical Chemistry (journal)Supersonic speedNuclear magnetic resonancePhysical chemistryArgonThermodynamicsChemistryOrganic chemistryQuantum mechanics

Abstract

fetched live from OpenAlex

Using magnetic focusing in a supersonic jet, a beam of ``normal'' H${}_{2}$O molecules seeded in a krypton carrier gas is shown to provide a source of water molecules that is highly enhanced in the ortho-H${}_{2}$O ($o$-H${}_{2}$O) nuclear spin isomer over the high-temperature equilibrium 3:1 ortho:para ratio. Water from the magnetically focused beam is then isolated and stored within a Kr matrix at 13 K whereby the amplitude and lifetime of this strong nuclear spin polarization are quantified spectroscopically. Attempts to store the polarization in a colder Kr matrix reveal complex nuclear spin conversion processes.

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 score0.002
Threshold uncertainty score0.003

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 head0.013
GPT teacher head0.264
Teacher spread0.251 · 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

Citations18
Published2012
Admission routes2
Has abstractyes

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Same venuePhysical Review ASame topicQuantum, superfluid, helium dynamicsFrench-language works237,207