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Record W1986406810 · doi:10.1186/ar3285

Correction: mPGES-1 null mice are resistant to bleomycin-induced skin fibrosis

2011· article· en· W1986406810 on OpenAlexaff
Matthew R. McCann, Roxana Monemdjou, Parisa Ghassemi-Kakroodi, Hassan Fahmi, Gemma Pérez, Shangxi Liu, Shiwen Xu, Sunil K. Parapuram, Fumiaki Kojima, Christopher P. Denton, David Abraham, Johanne Martel‐Pelletier, Leslie J. Crofford, Andrew Leask, Mohit Kapoor

Bibliographic record

VenueArthritis Research & Therapy · 2011
Typearticle
Languageen
FieldMedicine
TopicSystemic Sclerosis and Related Diseases
Canadian institutionsUniversité de MontréalCanadian Institutes of Health ResearchWestern University
Fundersnot available
KeywordsWestern blotBlotDot blotSMA*Northern blotMolecular biologyChemistryBiologyMathematicsBiochemistryGeneGene expression

Abstract

fetched live from OpenAlex

Following publication of our recent article [1], an error in Figure 5d was noticed.In Figure 5d, the β-actin blot corres ponding to α-SMA blot was captured on the chemi luminescence imaging system in an inverted orientation.Since this imager does not capture the protein marker, an error in the orientation of the membrane while capturing the picture of the blot occurred.During preparation of the fi gures for Figure 5d, the α-SMA blot was in right orientation but since orientation of β-actin blot was inverse as it was captured inversely resulted in non-corresponding β-actin blot with respect to α-SMA blot.We have rectifi ed this error now and β-actin blot now corresponds to α-SMA blot.Th e corrected fi gure 5 is given here as Figure 1 and a supplementary fi gure 1 (Additional fi le 1) showing another set of blots representing Figure 5d is also provided.

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)0.030
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.067
Threshold uncertainty score0.226

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.030
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0030.002
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0030.001
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0670.028

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 head0.102
GPT teacher head0.338
Teacher spread0.236 · 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 designBench or experimental
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

Citations3
Published2011
Admission routes1
Has abstractyes

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