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Record W4375953525 · doi:10.1016/j.nano.2023.102690

Corrigendum to “Silencing adenosine A2a receptor enhances dendritic cell-based cancer immunotherapy” [Nanomedicine Nanotechnol Biol Med 29 (2020) 102240]

2023· erratum· en· W4375953525 on OpenAlexaff
Ali Masjedi, Armin Ahmadi, Sepideh Ghanee, Farinaz Malakotikhah, Mohsen Nabi‐Afjadi, Mahzad Irandoust, Fariba Karoon Kiani, Sima Heydarzadeh Asl, Fatemeh Atyabi, Hadi Hassannia, Mohammad Hojjat‐Farsangi, Afshin Namdar, Ghasem Ghalamfarsa, Farhad Jadidi‐Niaragh

Bibliographic record

VenueNanomedicine Nanotechnology Biology and Medicine · 2023
Typeerratum
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAdenosine and Purinergic Signaling
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsNanomedicineImmunotherapyCancer immunotherapyGene silencingCancer researchAdenosineAdenosine A2A receptorCancerMedicineAdenosine receptorBiologyReceptorInternal medicineNanotechnologyGeneBiochemistryMaterials 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 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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesMeta-epidemiology (narrow), Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.354
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0020.002
Science and technology studies0.0010.003
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0060.003
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 head0.012
GPT teacher head0.285
Teacher spread0.274 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2023
Admission routes1
Has abstractno

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