MétaCan
Menu
Back to cohort
Record W414667237 · doi:10.13182/fst11-a12670

Natural Occurrence of Tritium in the Ecosystem of the Yenisei River

2011· article· en· W414667237 on OpenAlexaboutno aff
Bondareva Lydia

Bibliographic record

VenueFusion Science & Technology · 2011
Typearticle
Languageen
FieldEnvironmental Science
TopicRadioactive contamination and transfer
Canadian institutionsnot available
Fundersnot available
KeywordsTritiumEnvironmental scienceSoil waterInflowBiomass (ecology)PollutantEnvironmental chemistryPollutionOrganic matterGeologySoil scienceChemistryEcologyOceanography

Abstract

fetched live from OpenAlex

The operation of the Mining and Chemical Combine situated on the bank of the Yenisei River has resulted in intensive radioactive pollution of all components of the ecosystem by pollutants including tritium. Although tritium is considered to be little accumulated in bottom sediments and soils, it has been found that depending on the geochemical properties of soils tritium can be accumulated in some rocks due to binding with organic substances of the soil or penetrating into the layers of clay minerals and retaining in the interlayer space. Depending on the way of tritium inflow (water way or bottom sediments) it is distributed in plant parts non-uniformly. Here, in all the cases lamina dominates as the part of the plants most actively participating in photosynthesis. At constant tritium inflow to the Canada water weed biomass the intervention level for tritium was 2900 Bq/l.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.055
Threshold uncertainty score0.110

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0010.000
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 head0.014
GPT teacher head0.225
Teacher spread0.211 · 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

Citations14
Published2011
Admission routes1
Has abstractyes

Explore more

Same venueFusion Science & TechnologySame topicRadioactive contamination and transferFrench-language works237,207