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Record W2531878031 · doi:10.2172/1169155

Plutonium Training Opportunities

2015· report· en· W2531878031 on OpenAlexfundno aff
Galya Balatsky, Benjamin Wolkov

Bibliographic record

Venuenot available
Typereport
Languageen
FieldMaterials Science
TopicGraphite, nuclear technology, radiation studies
Canadian institutionsnot available
FundersPacific Northwest National LaboratoryNuclear PhysicsUC Berkeley College of ChemistryClaude Pepper Older Americans Independence Center, Wake Forest School of MedicineUniversity of California, IrvineNational Nuclear Security AdministrationStony Brook UniversityD. Mendeleev University of Chemical Technology of RussiaChina National Nuclear CorporationGraduate School, University of MarylandNational University of Science and TechnologyPittsburg State UniversitySichuan UniversitySaint Petersburg State UniversitySan José State UniversitySimon Fraser UniversityUniversity of IdahoWake Forest UniversityNuclear Power Institute of ChinaUniversity of MissouriUniversity of RochesterCarnegie Mellon UniversityLos Alamos National LaboratoryDomestic Nuclear Detection OfficeUniversity of WashingtonDepartment of Mechanical Engineering, University of Texas at AustinUniversity of CincinnatiWashington University in St. LouisWashington State UniversityOregon State UniversityNovosibirsk State Technical UniversityUniversity of Nevada, Las VegasFlorida State UniversityClemson UniversityUniversity of MichiganCollege of Pharmacy, University of MichiganU.S. Department of EnergyCalifornia Institute of TechnologyTexas AgriLife ResearchNational Aeronautics and Space Administration
KeywordsPlutoniumTraining (meteorology)Nuclear engineeringState (computer science)Environmental scienceEngineeringComputer scienceRadiochemistryChemistryPhysicsMeteorology

Abstract

fetched live from OpenAlex

This report was created to examine the current state of plutonium training in the United States and to discover ways in which to ensure that the next generation of plutonium workers are fully qualified.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.094
Threshold uncertainty score0.315

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0030.000
Scholarly communication0.0010.001
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0940.017

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 head0.409
GPT teacher head0.352
Teacher spread0.057 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2015
Admission routes1
Has abstractyes

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