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Record W3172940534 · doi:10.37506/ijfmt.v15i3.15538

Acute toxicity of Neonicotinoids and Carbamete on Honey Bee Apis mellifera L

2021· article· en· W3172940534 on OpenAlexaboutno aff
Hassan Tarek, Ali S. Moalif, Ernesto Guzmán‐Novoa

Bibliographic record

VenueIndian Journal of Forensic Medicine & Toxicology · 2021
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicInsect and Pesticide Research
Canadian institutionsnot available
Fundersnot available
KeywordsClothianidinImidaclopridToxicologyCarbarylAcute toxicityHoney beeNeonicotinoidHoney BeesBiologyToxicityPesticideMedicineBotanyThiamethoxamAgronomyInternal medicine

Abstract

fetched live from OpenAlex

Background and Objectives: The current study represents the first part of a Ph.D. research projectconducted at The University of Guelph, Ontario, Canada in co-operation with the University of Babylon,Hilla – Iraq. The main objective of this part was to estimate the acute toxicity (LD 50) of clothianidin,imidacloprid (neonicotinoids), and carbaryl (Crabmeat) to honey bees. Method: The Three insecticides havebeen blamed for the colony collapse disorder (CCD) crisis, newly emerged adult bees were challenged orallyand topically with a serial of doses of the three insecticides. Determination of the LD50 of each insecticiderevealed that clothianidin was the most toxic insecticide to bees in oral and topical applications comparedto the other two insecticides. The findings: The oral LD50 values were 0.004, 0.15, and 0.36 forclothianidin, imidacloprid, and carbaryl respectively. The topical LD50 values were 0.034, 0.085, and 0.24for the three insecticides respectively Data were statistically analyzed by probit analysis using theUS Environmental protection Agency statistical program (version 1-5).

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)0.001
metaresearch head score (Gemma)0.001
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 score0.113
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.024
GPT teacher head0.276
Teacher spread0.251 · 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

Citations2
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueIndian Journal of Forensic Medicine & ToxicologySame topicInsect and Pesticide ResearchFrench-language works237,207