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History of Foreign Studies of Organophosphate Induced Delayed neuropathy

2020· article· en· W4249130558 on OpenAlexaboutno aff

Bibliographic record

VenueJournal of NBC Protection Corps · 2020
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPesticide Exposure and Toxicity
Canadian institutionsnot available
Fundersnot available
KeywordsOrganophosphateNeurotoxicityNerve agentPhosphorusToxicologyChemical Warfare AgentsLindanePesticideChemical toxicityToxicityChemistryBiologyEngineeringEcologyBiochemistryOrganic chemistry

Abstract

fetched live from OpenAlex

Сertain organophosphates are highly toxic and can be used as chemical warfare agents. However, some classes of organic phosphorus compounds can cause so-called delayed neurotoxicity. Since the discovery of this phenomenon in 1899, extensive research has been conducted on delayed neurotoxicity caused by organophosphates. Mass poisoning of residents of the United States and Morocco in the last century demonstrated the high danger of substances that cause neurotoxicity, and gave a powerful impetus to research into this phenomenon. In addition to delayed effects, some phosphorus compounds potentiate the action of already known chemical warfare agents, increasing their toxicity by more than 10 times. Research in this direction is conducted under the auspices of the defense departments of the United States, Canada and the Netherlands. The wide distribution of phosphorus compounds in various industries and agriculture, the long hidden period and the irreversibility of lesions caused by neurotoxic organic phosphorus compounds, cause their potential threat to the security of the Russian Federation

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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.006
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.004
Science and technology studies0.0010.002
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.001

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 head0.096
GPT teacher head0.241
Teacher spread0.145 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations0
Published2020
Admission routes1
Has abstractyes

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