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Record W7039634019

Molecular Structure of Lindane

2004· dataset· en· W7039634019 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typedataset
Languageen
FieldEarth and Planetary Sciences
TopicArctic and Antarctic ice dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsLindaneRimantadinePesticideCanolaFood chainChemical productsPollutantPropoxurBioaccumulationHuman health
DOInot available

Abstract

fetched live from OpenAlex

Lindane, one of 8 possible hexachlorocyclohexane isomers, is a white or yellowish crystalline powder with a persistent musty odor. It is a commercial insecticide mostly used on fruit and vegetable crops and against cotton insects. It is also used as a soil poison and as a toxicant for grasshoppers. It is used in Canada as a pesticide on canola crops to prevent seed rot. Its use in the U.S. is restricted under the Safe Drinking Water Act of 1974. It is also a persistent organic pollutant (POP); that is, a chemicals that does not degrade easily in the environment and can travel through air, rivers, and oceans to places far away from where it was originally released (e.g., to the Arctic). This chemical is lipophilic (it prefers to dissolve in fat rather than water) and can biomagnify in food chains and cause severe health effects in wildlife and humans (e.g., cancer). In the United States and in many other countries, it is used as a topical treatment for head and body lice and scabies, a contagious skin disease caused by mites. Gamma-HCH has not been produced in the United States since 1976 but it is imported as dust, powder or liquid and used as an insecticide. It is also found in lotions, creams, or shampoos to control scabies and head lice. Vapors of HCH may irritate eyes, nose and throat. In humans, the effects of breathing toxic amounts of gamma-HCH can result in blood disorders, dizziness, headaches, and possible changes in the levels of sex hormones in the blood.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Dataset · Consensus signal: none
Teacher disagreement score0.020
Threshold uncertainty score0.067

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0200.007

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 head0.004
GPT teacher head0.196
Teacher spread0.191 · 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
GenreDataset

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
Published2004
Admission routes1
Has abstractyes

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