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Record W1991113259 · doi:10.1051/radiopro/20116776s

Modelling transfer to animals accounting for trans-generational factors

2011· article· en· W1991113259 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueRadioprotection · 2011
Typearticle
Languageen
FieldEnvironmental Science
TopicIsotope Analysis in Ecology
Canadian institutionsMcMaster University
FundersNorges Forskningsråd
KeywordsRadionuclideTransfer (computing)AllometryFood chainJuvenileReproductionEcologyEnvironmental scienceStatisticsBiological systemBiologyEconometricsComputer scienceMathematicsPhysics

Abstract

fetched live from OpenAlex

The FASTer-lite model is multi-compartmental model that can be used to simulate transfer through a simple terrestrial food-chain. The model uses allometric relationships to describe dietary intake rates and radionuclide biological half-lives; the latter were mostly derived from published literature. This type of conventional modelling, for simulating the transfer of radionuclides to representative animals such as birds, results in the observation that activity concentrations associated with ecological compartments approach an equilibrium after a certain time interval. Whilst this approach has validity, however, it is not biologically plausible as it ignores reproduction. In this study we calculate how activity concentrations may vary if transfer to eggs and subsequent growth dilution occurring within juvenile birds is accounted for.

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.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.477
Threshold uncertainty score0.999

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)0.0020.000

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 head0.042
GPT teacher head0.227
Teacher spread0.186 · 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