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Record W2318299045 · doi:10.5578/ttj.17.2.014

History of Lung Transplantation

2016· review· en· W2318299045 on OpenAlexaboutno aff
Gül Dabak, Ömer Şenbaklavacı

Bibliographic record

VenueTurkish Thoracic Journal · 2016
Typereview
Languageen
FieldMedicine
TopicTransplantation: Methods and Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsLung transplantationTransplantationLungChristian ministryMedicineAnastomosisSurgeryIntensive care medicineInternal medicinePolitical scienceLaw

Abstract

fetched live from OpenAlex

century when experimental vascular anastomotic techniques were developed by Carrel and Guthrie, followed by transplantation of thoracic organs on animal models by Demikhov and finally it was James Hardy who did the first lung transplantation attempt on human. But it was not until the discovery of cyclosporine and development of better surgical techniques that success could be achieved in that field by the Toronto Lung Transplant Group led by Joel Cooper. Up to the present day, over 51.000 lung transplants were performed in the world at different centers. The start of lung transplantation in Turkey has been delayed for various reasons. From 1998 on, there were several attempts but the first successful lung transplant was performed at Sureyyapasa Hospital in 2009. Today there are four lung transplant centers in Turkey; two in Istanbul, one in Ankara and another one in Izmir. Three lung transplant centers from Istanbul which belong to private sector have newly applied for licence from the Ministry of Health.

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)0.001
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: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.962
Threshold uncertainty score0.912

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.086
GPT teacher head0.433
Teacher spread0.347 · 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 designOther design
Domainnot available
GenreReview

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

Citations15
Published2016
Admission routes1
Has abstractyes

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