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Record W2046674758 · doi:10.1080/10619127.2013.855575

Recent Progress with β-NMR at ISAC

2013· article· en· W2046674758 on OpenAlexaffabout
R. F. Kiefl, W. A. MacFarlane, K. H. Chow, G. D. Morris, C.D.P. Levy, M.R. Pearson

Bibliographic record

VenueNuclear Physics News · 2013
Typearticle
Languageen
FieldPhysics and Astronomy
TopicRare-earth and actinide compounds
Canadian institutionsUniversity of AlbertaUniversity of British Columbia
Fundersnot available
KeywordsSubject matterNuclear physicsPhysicsNuclear astrophysicsIonEngineering physicsMaterials scienceNanotechnologyNuclear engineeringEngineeringPolitical science

Abstract

fetched live from OpenAlex

The ISAC facility at TRIUMF in Vancouver, Canada, produces intense beams of radioactive ions that are used in a broad research program encompassing fundamental properties of nuclei, nuclear astrophysics, medical physics, condensed matter physics, and physical chemistry. The focus of this article is on the latter subject and in particular recent developments in the use of β-detected NMR to probe electronic, magnetic, and structural properties of thin films and interfaces. Over the last 10 years considerable progress has been made developing the technique and applying it to current problems.

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)0.009
metaresearch head score (Gemma)0.004
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.030
Threshold uncertainty score0.060

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.003
Science and technology studies0.0010.002
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0050.004

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 head0.010
GPT teacher head0.214
Teacher spread0.204 · 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
Published2013
Admission routes2
Has abstractyes

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