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Record W3093057730 · doi:10.1016/j.idcr.2020.e00990

Moxibustion-septic shock and necrotizing fasciitis

2020· article· en· W3093057730 on OpenAlexaff
Harnek Singh, Amardeep Singh Chetha, Hamed Shalikar

Bibliographic record

VenueIDCases · 2020
Typearticle
Languageen
FieldMedicine
TopicStreptococcal Infections and Treatments
Canadian institutionsWorkers Compensation Board of Alberta
Fundersnot available
KeywordsMoxibustionMedicineFasciitisSeptic shockAcupunctureVietnameseMeridian (astronomy)Intensive care medicineTraditional medicineSurgeryDermatologyAlternative medicinePathologySepsis

Abstract

fetched live from OpenAlex

Moxibustion is a traditional Chinese treatment that has been utilized for centuries. It also plays an important role in traditional Korean, Vietnamese, Japanese and Mongolian medicine. It is considered safe by practitioners of Alternative Medicine, similar to acupuncture treatment, and consists of burning plant materials called "moxa" on or very near the surface of the skin near meridian points. Traditional practitioners believe that it can be effective against chronic conditions and improve blood in one's body. However, Moxibustion is not without risk to the patient. This case report describes a case of a patient whose moxibustion treatment led to septic shock secondary to necrotizing fasciitis.

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)0.001
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 score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.041
GPT teacher head0.279
Teacher spread0.238 · 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

Citations5
Published2020
Admission routes1
Has abstractyes

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