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Record W3042274169 · doi:10.1016/j.healun.2020.07.006

International Society for Heart and Lung Transplantation consensus statement for the standardization of bronchoalveolar lavage in lung transplantation

2020· editorial· en· W3042274169 on OpenAlexaff
Tereza Martinu, Angela Koutsokera, Christian Benden, Edward Cantu, Daniel C. Chambers, Marcelo Cypel, Jeffrey Edelman, Amir Emtiazjoo, Andrew J. Fisher, John R. Greenland, Don Hayes, David Hwang, Brian C. Keller, Erika D. Lease, Michael Perch, Masaaki Sato, Jamie L. Todd, Stijn E. Verleden, Jan H. von der Thüsen, S. Samuel Weigt, Shaf Keshavjee, Cecilia Chaparro, David Roe, F. D’Ovidio, George Chaux, Greg Snell, Laurent Godinas, M. Al-Aloul, Steven R. Hays, A. Rigby, Louis Clauden, Matthew R. Morrell, Puneet Garcha, Sanjeev Raman, Soma Jyothula, Michael Trotter, Cassie C. Kennedy, Chadi A. Hage, Saima Aslam, Shahid Husain, Katharina Wassilew, Reinaldo Rampolla-Selles, Siddhartha G. Kapnadak, Umesh Goswami, Aric L. Gregson, Bart Vanaudenaerde, C. Tji Gan, Laura Frye, Margaret M. Hannan, Harish Seethamraju, Rade Tomic, Remzi Bag, Alicia B. Mitchell, Jorge M. Mallea, M. Crespo, Sangeeta Bhorade, Cantu Edward, Cypel Marcelo, Gundeep Dhillon, Jason D. Christie, Jessica G.Y. Luc, Keith Wille, Olufemi Akindipe, Omar Mohamedaly, C.H. Wigfield, Ernestina Melicoff, M.G. Schecter, Shailendra Das, Ani Orchanian‐Cheff, George Tomlinson

Bibliographic record

VenueThe Journal of Heart and Lung Transplantation · 2020
Typeeditorial
Languageen
FieldMedicine
TopicTransplantation: Methods and Outcomes
Canadian institutionsToronto General HospitalUniversity of TorontoUniversity Health Network
FundersLungenliga SchweizUniversité de LausanneSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
KeywordsLung transplantationBronchoalveolar lavageStandardizationMedicineTransplantationIntensive care medicineLungMedical physicsPathologyInternal medicinePolitical science

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.041
metaresearch head score (Gemma)0.097
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: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.041
Threshold uncertainty score0.219

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0410.097
Meta-epidemiology (narrow)0.0040.002
Meta-epidemiology (broad)0.0090.005
Bibliometrics0.0060.003
Science and technology studies0.0030.005
Scholarly communication0.0110.006
Open science0.0060.003
Research integrity0.0240.038
Insufficient payload (model declined to judge)0.0060.007

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 head0.016
GPT teacher head0.343
Teacher spread0.327 · 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
GenreEditorial

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

Citations103
Published2020
Admission routes1
Has abstractno

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