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Record W3081141800 · doi:10.1016/j.cjco.2020.08.004

Optical Coherence Tomography and PCI in a Patient With Methamphetamine-Associated Spontaneous Coronary Artery Dissection

2020· article· en· W3081141800 on OpenAlexaff
Joshua Durbin, Joseph Abunassar, Gerry Adams, Paul Malik, Amar Thakrar, Wael Abuzeid

Bibliographic record

VenueCJC Open · 2020
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Issues in Pregnancy
Canadian institutionsQueen's University
Fundersnot available
KeywordsMedicineCardiologyInternal medicineMyocardial infarctionPercutaneous coronary interventionTIMIRight coronary arteryArteryRadiologyCoronary angiography

Abstract

fetched live from OpenAlex

A 44-year-old man with a history of significant methamphetamine abuse presented following witnessed out-of-hospital cardiac arrest. Immediate bystander cardiopulmonary resuscitation was initiated, with return of spontaneous circulation. The patient was intubated and noted to have increasing requirements for hemodynamic support. An electrocardiogram demonstrated anterior Q-waves with minor (<1 mm) ST-segment elevation in leads V1-V3, with corresponding ST-segment depression in leads II and III, and arteriovenous fistula, and echocardiography demonstrated severely reduced left ventricular systolic function.

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)0.003
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 score0.004
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0040.003
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 head0.015
GPT teacher head0.254
Teacher spread0.240 · 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

Citations1
Published2020
Admission routes1
Has abstractyes

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