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Record W7033234433

Precise mass measurements of Cf252 fission fragments with the Canadian penning trap mass spectrometer (CPTMS)

2007· other· en· W7033234433 on OpenAlexfundvenueaboutno aff

Bibliographic record

VenueLibrary and Archives Canada (Government of Canada) · 2007
Typeother
Languageen
FieldEarth and Planetary Sciences
TopicSubterranean biodiversity and taxonomy
Canadian institutionsnot available
FundersArgonne National LaboratoryNatural Sciences and Engineering Research Council of Canada
KeywordsFissionPenning trapMass spectrometryAtomic massIsotopeHybrid mass spectrometerSpontaneous fissionFission product yieldIon sourceMass number
DOInot available

Abstract

fetched live from OpenAlex

The Canadian Penning Trap Mass Spectrometer (CPTMS) located at the ATLAS (Argonne Tandem Linear Accelerator System) facility of Argonne National Laboratory makes precise mass measurements on both stable and unstable isotopes. A 252Cf fission source has been used as the ion source for the unstable isotope mass measurements. This thesis concentrates on the mass measurements of the fission fragments from the 252Cf fission source using the CPTMS system. It is the first time that the masses of such fission fragments have been measured with a mass spectrometer. \nThe masses of 108Tc, 108Ru, 109Ru and 110Ru have been measured to a precision of 10-7. The results have been compared to exiting mass measurements and the Atomic Mass Evaluation (AME2003). In general good agreement between this work and existing data is realized. A few discrepancies are identified.

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: Empirical
Teacher disagreement score0.442
Threshold uncertainty score0.879

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.004
Science and technology studies0.0040.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.002

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 head0.014
GPT teacher head0.136
Teacher spread0.121 · 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

Citations0
Published2007
Admission routes3
Has abstractyes

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Same venueLibrary and Archives Canada (Government of Canada)Same topicSubterranean biodiversity and taxonomyFrench-language works237,207