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Record W4206408921 · doi:10.1017/s1049023x00004787

Abstracts for the 15th World Congress for Disaster and Emergency Medicine

2007· article· en· W4206408921 on OpenAlexaff
Patricia Padjen, D Martin-Lightfoot

Bibliographic record

VenuePrehospital and Disaster Medicine · 2007
Typearticle
Languageen
FieldHealth Professions
TopicDisaster Response and Management
Canadian institutionsHamilton Regional Laboratory Medicine Program
Fundersnot available
KeywordsCardiopulmonary resuscitationCoronary perfusion pressureDecompressionMedicineCerebral perfusion pressureDecompression illnessResuscitationDecompression sicknessAnesthesiaPerfusionMedical emergencyCardiologySurgery

Abstract

fetched live from OpenAlex

Introduction: The effectiveness of cardiopulmonary resuscitation (CPR) is dependent on the technique of the rescuers and the time after arrest that CPR is initiated to the victim. Incomplete chest wall recoil during the decompression phase of CPR increases intra-thoracic pressure and decreases coronary and cerebral perfusion. The Inspiratory Impedance Valve (ITD) prevents unnecessary air from entering the lungs during the decompression phase.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.780
Threshold uncertainty score0.737

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0020.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.000
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.2200.111

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 head0.076
GPT teacher head0.433
Teacher spread0.356 · 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.

Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2007
Admission routes1
Has abstractyes

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