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Record W2776139015 · doi:10.1111/1556-4029.13724

Intracoronary Thrombus Formation Following Carbon Monoxide Poisoning

2017· article· en· W2776139015 on OpenAlexaff
Marilou Caron‐Cantin, Marcia Abbott, Elizabeth Brooks‐Lim, Bamidele Adeagbo

Bibliographic record

VenueJournal of Forensic Sciences · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHeme Oxygenase-1 and Carbon Monoxide
Canadian institutionsOffice of the Chief Medical ExaminerUniversity of AlbertaUniversity of CalgaryMcGill University
Fundersnot available
KeywordsCarbon monoxide poisoningMedicineThrombusCoronary thrombosisAutopsyContext (archaeology)CardiologyThrombosisInternal medicineRight coronary arteryForensic pathologyPoison controlMedical emergencyCoronary angiographyMyocardial infarction

Abstract

fetched live from OpenAlex

Thromboembolic events in the context of carbon monoxide (CO) exposure have been well described in the literature. Six cases of clinically significant coronary thrombosis following CO exposure were previously reported. However, factors affecting the development of coronary thrombus in CO exposure are poorly understood, and the significance of this finding in a forensic context is not clear. This article discusses a case of coronary thrombosis found at autopsy following a death in which CO poisoning was suspected. A 67-year-old man was found dead in his garage with four vehicles with their ignition in the "on" position and their tanks empty. At autopsy, severe coronary atherosclerosis and an acute nonocclusive coronary thrombus were found. Given the dissimilarities among cases and the presence of CO exposure, it was suggested that the coronary artery thrombosis is likely due to the inherent prothrombotic mechanism of CO, the only common denominator in all the cases.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.021
GPT teacher head0.292
Teacher spread0.271 · 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 designCase report
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
Published2017
Admission routes1
Has abstractyes

Explore more

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