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Record W2769218181 · doi:10.1080/24745332.2017.1387508

History of respiratory medicine at University of British Columbia

2017· article· en· W2769218181 on OpenAlexaffabout
J Mark FitzGerald, Moira Chan Yeung, John A. Fleetham

Bibliographic record

VenueCanadian Journal of Respiratory Critical Care and Sleep Medicine · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicDelphi Technique in Research
Canadian institutionsUniversity of British Columbia HospitalVancouver General Hospital
Fundersnot available
KeywordsMedicineLung transplantationLungAsthmaRespiratory MedicineObstructive lung diseaseInterstitial lung diseaseHealth careCOPDIntensive care medicineRespiratory careInternal medicineSurgeryPolitical science

Abstract

fetched live from OpenAlex

Respiratory medicine at the University of British Columbia has a long and proud history of clinical care, education and research. The clinical care followed a distributed model involving multiple sites with focused special expertise at different sites. There were major reorganizations over the years and most acute care and research are now concentrated at Vancouver General Hospital (VGH) and St. Paul's Hospital. This article outlines the development and progress of respiratory sciences at VGH and includes the merger with the UBC Hospital and closure of Shaughnessy Hospital in 1994. The major areas of clinical and research expertise are asthma, chronic obstructive pulmonary disease, lung cancer, sleep apnea, occupational lung disease, tuberculosis, interstitial lung disease, pulmonary hypertension lung transplantation, chest radiology and thoracic surgery. More recently multiple programs have been integrated into the UBC Centre for Lung Health (www.centreforlunghealth.ca). The UBC Centre for Lung Health provided a framework for the collaborations and interaction that have led to the development of the Institute for Heart and Lung Health (http://heartandlung.ca/).

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)0.002
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.993
Threshold uncertainty score0.649

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0070.003
Scholarly communication0.0050.001
Open science0.0010.002
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.1030.018

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 head0.107
GPT teacher head0.373
Teacher spread0.266 · 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 designQualitative
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

Citations0
Published2017
Admission routes2
Has abstractyes

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