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Record W1713569700

Weather and chinook winds in relation to spontaneous pneumothoraces.

2009· article· en· W1713569700 on OpenAlexaffabout
Colin Schieman, Andrew Graham, Gary Gelfand, Sean P McFadden, Corina Tiruta, Michael D. Hill, Sean Grondin

Bibliographic record

VenuePubMed · 2009
Typearticle
Languageen
FieldMedicine
TopicPleural and Pulmonary Diseases
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsChinook windClimatologyAtmospheric sciencesPrevailing windsWarm frontStormSevere weatherMedicineMeteorologyGeologyGeographyOncorhynchus
DOInot available

Abstract

fetched live from OpenAlex

BACKGROUND: Spontaneous pneumothorax (SP) results from the rupture of blebs or emphysematous bullae. Rapid changes in weather may precipitate this process. The city of Calgary is well suited to examine the effects of weather and specifically the rapid changes in weather associated with a chinook event and the occurrence of SP. METHODS: We performed a retrospective chart review of all cases of SP in the Calgary Health Region from 2001 to 2005. We obtained local hourly weather data over the same period from Environment Canada. We then compared the rates of SP on chinook and nonchinook days. Further, we compared mean daily temperature, humidity, wind speed and atmospheric pressure on chinook and nonchinook days. RESULTS: In all, 220 SP events from 149 patients occurred during the 4.5-year study period. There was no significant difference in the rate of SP on chinook days versus nonchinook days (p = 0.80). Similarly, there was no significant difference in the rate of SP in each of the 4 seasons (p = 0.30). We observed significantly higher average wind speed and lower mean atmospheric pressure on days with SP versus days without (p = 0.009, p = 0.020, respectively). There was no difference in mean temperature or mean relative humidity when comparing days with SP versus days without. CONCLUSION: We found no association between SP and chinook events. We observed significantly higher wind speeds and lower atmospheric pressures on days with SP versus days without.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.810
Threshold uncertainty score0.210

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.014
GPT teacher head0.229
Teacher spread0.216 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations18
Published2009
Admission routes2
Has abstractyes

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