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Record W2107042961 · doi:10.1002/aoc.322

Maternal transfer of arsenic to eggs of black‐tailed gull (<i>Larus crassirostris</i>) from Rishiri Island, Japan

2002· article· en· W2107042961 on OpenAlexfundno aff
Reiji Kubota, Takashi Kunito, Shinsuke Tanabe, Haruo Ogi, Yasuyuki Shibata

Bibliographic record

VenueApplied Organometallic Chemistry · 2002
Typearticle
Languageen
FieldEnvironmental Science
TopicArsenic contamination and mitigation
Canadian institutionsnot available
FundersNational Research Council CanadaUniversity of ReadingMichigan State University
KeywordsArsenobetaineArsenicChemistryEnvironmental chemistryZoologyBiologyArsenateOrganic chemistry

Abstract

fetched live from OpenAlex

Abstract Concentrations of total arsenic and individual arsenic compounds were determined in several tissues and eggs of the black‐tailed gull ( Larus crassirostris ) to characterize accumulation and maternal transfer to eggs. A relatively high concentration of arsenic was observed in the liver, kidney, pancreas, muscle and gonad. The transfer rate of arsenic to eggs of the black‐tailed gull was about 10%. Chemical speciation analysis revealed that arsenobetaine was the major arsenic compound in all the tissues. Dimethylarsinic acid, methylarsonic acid, arsenocholine, and an unidentified arsenic compound were also detected as minor constituents. Like maternal tissues, egg also contained arsenobetaine as the major arsenic compound and dimethylarsinic acid as a minor compound. These results suggest that arsenobetaine and dimethylarsinic acid can transfer from the mother bird to the eggs. To our knowledge, this is the first report on the maternal transfer of arsenic species to eggs of seabirds. Copyright © 2002 John Wiley &amp; Sons, Ltd.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.053
Threshold uncertainty score0.947

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)0.0540.001

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 head0.007
GPT teacher head0.187
Teacher spread0.180 · 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.

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

Citations33
Published2002
Admission routes1
Has abstractyes

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