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Record W2014752951 · doi:10.1063/1.1424903

Time-of-flight neutral mass and velocity spectrometer for atmospheric research

2002· article· en· W2014752951 on OpenAlexfundno aff
N. Fujikawa, K. Tsuruda, H. Hayakawa

Bibliographic record

VenueReview of Scientific Instruments · 2002
Typearticle
Languageen
FieldPhysics and Astronomy
TopicIonosphere and magnetosphere dynamics
Canadian institutionsnot available
FundersInstitute of Space and Astronautical ScienceUniversity of Calgary
KeywordsTime of flightMass spectrometryIonizationSpectrometerAtomic physicsPlasma diagnosticsPhysicsDrift velocityDistribution functionMass distributionOpticsComputational physicsPlasmaMaterials scienceNuclear physicsIonAstrophysics

Abstract

fetched live from OpenAlex

We have developed a prototype time-of-flight neutral gas mass spectrometer that simultaneously measures the density and the velocity distribution function of each mass species, using the time-of-flight and the two-dimensional spatial distribution of the ionized particles on a charge-coupled device (CCD). We confirmed the feasibility of the velocity distribution measurement in a vacuum chamber using room-temperature Ar gas, by measuring the spatial distribution of the ionized Ar on the CCD and inferring the corresponding velocity distribution of the incident Ar.

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: Empirical · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.002

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 head0.026
GPT teacher head0.283
Teacher spread0.257 · 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
Published2002
Admission routes1
Has abstractyes

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