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Record W2279852544 · doi:10.7727/wimj.2014.225

Report on Hyperbaric Oxygen Therapy (HBOT): An Overlooked Therapeutic Option in Stroke Recovery and Potential source of Health Sector Revenue & Health Tourism, presented at the 46th Annual Conference of the Association of Surgeons in Jamaica, Kingston, Ja

2015· article· en· W2279852544 on OpenAlexaff
Stephen Lowe, L Mercier du Quesnay, PMH Gayle, F Henry-Pinnock, T Wedderburn-Buddo

Bibliographic record

VenueWest Indian Medical Journal · 2015
Typearticle
Languageen
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsDiscovery Centre
Fundersnot available
KeywordsMedicineHyperbaric oxygenRevenueTourismStroke (engine)Activity-based costingSurgeryFinanceMarketingBusiness

Abstract

fetched live from OpenAlex

This is a special case report on Jamaica’s first use of hyperbaric oxygen therapy (HBOT) in stroke recovery, presented at the 56th Annual Conference of the Association of Surgeons in Jamaica, Kingston, Jamaica. The literature and story behind the trial ‒ covering case history, diagnosis and discussion of outcome ‒ technical issues, costing, insurance and possibilities

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)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0040.002
Scholarly communication0.0020.003
Open science0.0010.002
Research integrity0.0050.007
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 head0.027
GPT teacher head0.289
Teacher spread0.262 · 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 designNot applicable
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
Published2015
Admission routes1
Has abstractyes

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