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Record W2009319578 · doi:10.1118/1.3244123

Poster — Wed Eve—19: Coeff6 — A Tool for Radiation Physics

2009· article· en· W2009319578 on OpenAlexaff
JR Cunningham

Bibliographic record

VenueMedical Physics · 2009
Typearticle
Languageen
FieldPhysics and Astronomy
TopicNuclear Physics and Applications
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsExecutableNISTPhotonPhysicsDosimetryComputer sciencePhysics educationRadiationStopping powerComputational scienceNuclear physicsOpticsProgramming languageNuclear medicineQuantum mechanics

Abstract

fetched live from OpenAlex

Coeff6 is a program, written in Visual Basic 6.0, for the purpose of creating and manipulating tables of electron stopping powers and photon interaction coefficients for elements and composite materials. It is acompanied by an extensive library of electron stopping power and photon interaction coefficient data, and information concerning the composition of a number of composite materials that are useful in radiation physics. It includes routines for creating tables of these data and for displaying them in graphical form. There is also a collection of both photon and electron spectra and of routines for creating, manipulating and displaying them. The spectra can be used to calculate various quantities averaged over them and are useful for demonstrations and for calculating parameters used in dosimetry. Coeff6 also includes other procedures and demonstrations that may be generally useful in the teaching and learning of radiation physics. The source of the data in the Coeff6 library are websites hosted by NIST. Coeff6 , in executable form along with the library of data, can be obtained from the author on a CD.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.892
Threshold uncertainty score0.780

Codex and Gemma teacher scores by category

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.011
GPT teacher head0.274
Teacher spread0.264 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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
Published2009
Admission routes1
Has abstractyes

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