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Record W4281250454 · doi:10.1016/j.jcyt.2021.11.007

Proceedings of the ISCT scientific signature series symposium, “Advances in cell and gene therapies for lung diseases and critical illnesses”

2022· review· en· W4281250454 on OpenAlexafffund
Anthony E. Ting, Elizabeth K. Baker, Josée Champagne, Tushar Desai, Claúdia C. dos Santos, Irene H. Heijink, Silviu Itescu, Katarina Le Blanc, Michael A. Matthay, Daniel F. McAuley, Lauralynn McIntyre, Shirley H. J. Mei, Biju Parekkadan, Patrícia R. M. Rocco, John T. Sheridan, Bernard Thébaud, Daniel J. Weiss

Bibliographic record

VenueCytotherapy · 2022
Typereview
Languageen
FieldMedicine
TopicNeonatal Respiratory Health Research
Canadian institutionsUniversity of TorontoSt. Michael's HospitalOttawa Hospital
FundersStockholms Läns LandstingNatural Sciences and Engineering Research Council of CanadaNational Heart, Lung, and Blood InstituteVetenskapsrådetCanadian Institutes of Health ResearchUniversity of TorontoCancerfondenHealth and Social Care Research and Development DivisionMedical Research CouncilStem Cell NetworkLung Foundation NetherlandsWellcome Trust
KeywordsGenetic enhancementMedicineGene signatureStromal cellGene transferCell therapyStem cellMesenchymal stem cellBioinformaticsGeneImmunologyBiologyCancer researchPathologyGene expressionGenetics

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)0.001
metaresearch head score (Gemma)0.002
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: Review · Consensus signal: Review
Teacher disagreement score0.014
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0140.008

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 head0.037
GPT teacher head0.389
Teacher spread0.352 · 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
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

Citations5
Published2022
Admission routes2
Has abstractno

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