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Record W1988202592 · doi:10.1093/rpd/ncm089

Microdosimetric characteristics of carbon track-segments

2007· article· en· W1988202592 on OpenAlexaff
J. Chen

Bibliographic record

VenueRadiation Protection Dosimetry · 2007
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAtomic and Molecular Physics
Canadian institutionsHealth Canada
Fundersnot available
KeywordsTrack (disk drive)IonMonte Carlo methodIon trackCarbon fibersRange (aeronautics)RadiationDeposition (geology)Spectral lineMaterials scienceLinear energy transferNuclear physicsComputational physicsIrradiationPhysicsComputer scienceGeology

Abstract

fetched live from OpenAlex

Carbon ions were introduced to radiation therapy due to their special physical and radiobiological properties. In heavy ion therapy, specification of radiation quality is an important issue and rapid calculations are often required for treatment planning. Because radiation qualities are closely related to microdosimetric spectra and parameters, this study is intended to provide microdosimetric parameters of carbon track-segments in the energy range from 50 MeV to 5 GeV. Monte-Carlo techniques are used to simulate track-segments of carbon ions in water. Microdosimetric quantities (the dose mean lineal energies) are calculated for the two components of the track-segment: the track-core formed by energy deposition of carbon ions and the track-penumbra (an extended region around the track-core produced by energy deposition of secondary electrons).

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.642
Threshold uncertainty score0.544

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.007
GPT teacher head0.231
Teacher spread0.224 · 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 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 routes1
Has abstractyes

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