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Record W3001045628 · doi:10.15586/jptcp.v26i3.633

CASE REPORT OF LETHAL TOXIN LURKING IN AN EDIBLE PLANT

2019· article· en· W3001045628 on OpenAlexvenueno aff
Pallav Patel, Venu Madhav Konala, Sreedhar Adapa, Vijay Gayam, Prem Sahasranam, Subhasish Bose, Candice D Golez, Srikanth Naramala

Bibliographic record

VenueJournal of Population Therapeutics and Clinical Pharmacology · 2019
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicCassava research and cyanide
Canadian institutionsnot available
Fundersnot available
KeywordsToxinBiologyMicrobiology

Abstract

fetched live from OpenAlex

Cyanide is notoriously known to the public for more than a century now as a weapon of mass destruction (Zyklon B gas - hydrogen cyanide used by Nazis), an agent for chemical warfare during World War I (hydrogen cyanide) and very infamous "Suicide Pill" used in the past by military and espionage organizations during World War II (potassium cyanide). During the modern industrial era, cyanide poisoning is commonly associated with the industrial exposure and domestic fires. But there is little awareness about potentially fatal consequences of cyanide poisoning from common food sources. Here, we present the case report of a 79-year-old female with acute cyanide poisoning from improperly prepared cassava leaves. Symptoms from ingested toxin may start a few hours after exposure, which include headache, confusion, ataxia, seizures, palpitations, nausea, vomiting, abdominal pain, flushing, and itching of the skin. Patients may develop hypotension, cardiac arrhythmias, renal failure, hepatic necrosis, rhabdomyolysis, and metabolic acidosis; a multisystem manifestation of hypoxia at the cellular level. Multiple treatment strategies are available to treat cyanide poisoning, including sodium nitrite, sodium thiosulfate, and hydroxycobalamine. This is one of the scenarios where a thorough history, awareness of agents causing cyanide toxicity and knowledge of clinical manifestations can help avoid delays in prompt decision-making for appropriate treatment, thus reducing morbidity, mortality, and prolonged hospital course.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.253
Threshold uncertainty score0.287

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0000.000

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 head0.122
GPT teacher head0.422
Teacher spread0.300 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations4
Published2019
Admission routes1
Has abstractyes

Explore more

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