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Record W4388787401

A Two-Stage Optimal Time-Space Model of Nuclear Radiation Control, Health Protection, and Cost Minimization

2023· preprint· en· W4388787401 on OpenAlexaff
Carmen Camacho, Rodolphe Desbordes, Herb Kunze, Davide La Torre

Bibliographic record

VenueHAL (Le Centre pour la Communication Scientifique Directe) · 2023
Typepreprint
Languageen
FieldEngineering
TopicNuclear and radioactivity studies
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsMinificationRadiation protectionStage (stratigraphy)Control (management)Space (punctuation)Optimal controlRadiationComputer scienceMathematical optimizationMathematicsPhysicsMedicineNuclear medicineNuclear physicsBiologyArtificial intelligence
DOInot available

Abstract

fetched live from OpenAlex

We present a two-stage optimal control model with space and time dimensions to analyze the diffusion of radiations from a nuclear radiation source. The first stage of the model considers the optimal policy to contain the emissions generated from a nuclear radiation source which are diffusing and contaminating the surrounding territories. The second stage, instead, seeks to determine the best location for the nuclear radiation source by minimizing the cost of containment and maximizing the distance from population centers. We illustrate our approach through different numerical examples and we also provide a real case study by using available data from Chernobyl.

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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.030
Threshold uncertainty score0.060

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0010.001
Science and technology studies0.0010.003
Scholarly communication0.0030.002
Open science0.0030.002
Research integrity0.0060.003
Insufficient payload (model declined to judge)0.0120.001

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 head0.018
GPT teacher head0.224
Teacher spread0.207 · 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 designSimulation or modeling
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
Published2023
Admission routes1
Has abstractyes

Explore more

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