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Record W2054552243 · doi:10.1021/ac034621x

Optically Timed Submillimeter Time-of-Flight Mass Spectrometry

2003· article· en· W2054552243 on OpenAlexaff
P. W. Dooley, V. R. Bhardwaj, D. M. Rayner, P. B. Corkum

Bibliographic record

VenueAnalytical Chemistry · 2003
Typearticle
Languageen
FieldChemistry
TopicMass Spectrometry Techniques and Applications
Canadian institutionsMcMaster UniversitySteacie Institute for Molecular Sciences
Fundersnot available
KeywordsTime of flightMass spectrometryChemistryCoulomb explosionTime-of-flight mass spectrometryIonizationLaserIonFemtosecondAtomic physicsAtmospheric-pressure laser ionizationPulse (music)Electric fieldOpticsPhysicsElectron ionization

Abstract

fetched live from OpenAlex

We demonstrate that using intense femtosecond laser pulses to optically time ion flight can lead to a miniature time-of-flight mass spectrometer. After laser ionization, the molecular ion is accelerated by a static electric field and detected using a second, delayed laser pulse. The relative positions of the two laser foci determine the ion flight distance while the time separation of the laser pulses fixes the ion flight time. We mass-resolve CS(2) or C(6)H(6) isotopes after a flight distance of 360 microm using either double ionization or Coulomb explosion detection.

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 communication0.0000.001
Open science0.0010.000
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 head0.009
GPT teacher head0.242
Teacher spread0.233 · 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
Published2003
Admission routes1
Has abstractyes

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