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Record W1976167721 · doi:10.1021/es203598r

Canopy-Forming Kelps as California’s Coastal Dosimeter: <sup>131</sup>I from Damaged Japanese Reactor Measured in <i>Macrocystis pyrifera</i>

2012· article· en· W1976167721 on OpenAlexaboutno aff
Steven L. Manley, Christopher G. Lowe

Bibliographic record

VenueEnvironmental Science & Technology · 2012
Typearticle
Languageen
FieldEnvironmental Science
TopicRadioactive contamination and transfer
Canadian institutionsnot available
Fundersnot available
KeywordsMacrocystis pyriferaKelpEnvironmental scienceKelp forestCanopyDosimeterOceanographyDeposition (geology)EcologyBiologyGeologyRadiationPhysics

Abstract

fetched live from OpenAlex

The Fukushima Daiichi Nuclear Plant, damaged by an earthquake and tsunami on March 11, 2011 released large amounts of (131)I into the atmosphere, which was assimilated into canopy blades of Macrocystis pyrifera sampled from coastal California. The specific activity calculated to the estimated date of deposition/assimilation ranged from 0.6 to 2.5 Bq gdwt(-1), levels greater than those measured from kelps from Japan and Canada prior to the release. These (131)I levels represent a significant input into the kelp forest ecosystem. Canopy-forming kelps are a natural coastal dosimeter that can measure the exposure of the coastal environment to (131)I and perhaps other radioisotopes released from nuclear accidents. An organizational mechanism should be in place to ensure that they are sampled immediately and continuously after such releases.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.210
Teacher spread0.203 · 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 designObservational
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

Citations22
Published2012
Admission routes1
Has abstractyes

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