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Record W4306148592 · doi:10.5267/j.ccl.2022.8.006

Toxicity of atrazine and metribuzin herbicides on earthworms (Aporrectodea caliginosa) by filter paper contact and soil mixing techniques

2022· article· en· W4306148592 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCurrent Chemistry Letters · 2022
Typearticle
Languageen
FieldEnvironmental Science
TopicPesticide and Herbicide Environmental Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMetribuzinAtrazineLoamChemistrySoil waterEarthwormAgronomyEnvironmental chemistryPesticideEnvironmental scienceSoil scienceWeed controlBiology

Abstract

fetched live from OpenAlex

Herbicides used on a regular basis could endanger non-target species like earthworms. The aim of this work was to test the toxic effect of atrazine and metribuzin on Aporrectodea caliginosa by filter paper contact and soil mixing techniques. Atrazine had the highest intrinsic toxicity to earthworms, with LC50 of 0.026 µg mL-1 after 72 hr of treatment. While the LC50 of metribuzin was 0.063 µg mL-1 after 72 hr by filter paper contact test. LC50 was reduced from 11.121 to 3.118 and 164.824 to 19.113 μg g soil-1 in clay soil, from 32.221 to 17.33 and 324.141 to 41.028 μg g soil-1 in soil (1:1) and from 41.234 to 30.804 and 462.255 to 70.902 μg g soil-1 in sandy clay loam soil of atrazine and metribuzin after 5 and 10 day. Generally, atrazine is more toxic than metribuzin in both tests.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.031
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 head0.008
GPT teacher head0.215
Teacher spread0.206 · 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