MétaCan
Menu
Back to cohort
Record W3125058294 · doi:10.1051/e3sconf/202123302022

Toxicity Mechanisms and Potential Uses of Extracted Mushroom Toxins - Amatoxin, Antamanide, Muscurine

2021· article· en· W3125058294 on OpenAlexaff
Xiaochen Liang, Tianxu Wang

Bibliographic record

VenueE3S Web of Conferences · 2021
Typearticle
Languageen
FieldMedicine
TopicSilymarin and Mushroom Poisoning
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMushroomMushroom poisoningToxicologyAmanita phalloidesToxicityBiologyBiotechnologyMedicineFood scienceBotany

Abstract

fetched live from OpenAlex

Mushroom, as a popular kind of wild edible fungi, has raised the attention of many scientists around the globe, due to the fact that increasing numbers of fatal mushroom poisoning cases worldwide have been reported each year. Therefore, to overcome the issue of fatality of mushrooms with an attempt to help people prevent mushroom poisoning, studying mushroom toxicology has become a significant topic to many biochemists; a growing number of researches are conducted focusing on mushroom toxins as well as their chemical properties and toxicity mechanism. In this review, properties and mechanisms of three major toxins (amatoxin, antamanide, muscarine) are chosen as the research focus. The three major toxins, which are extracted from wild mushrooms, will be summarized and studied based on past research findings. Our goals are trying to find possible treatments of each toxin as well as their potential usage in the pharmaceutical industry, which can be especially beneficial towards research of mushroom-extracted drug and food-poisoning toxicity treatment for further investigation and academic references.

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 score0.186
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.019
GPT teacher head0.265
Teacher spread0.246 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueE3S Web of ConferencesSame topicSilymarin and Mushroom PoisoningFrench-language works237,207