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Record W2899152528 · doi:10.1016/j.actbio.2018.10.009

Corrigendum to “Short peptide analogs as alternatives to collagen in pro-regenerative corneal implants” [Acta Biomaterialia 69 (2018) 120–130]

2018· erratum· en· W2899152528 on OpenAlexaff
Jaganmohan R. Jangamreddy, Michel Haagdorens, Mohammad Mirazul Islam, Philip N. Lewis, Ayan Samanta, Per Fagerholm, Aneta Liszka, Monika Kozak Ljunggren, Oleksiy Buznyk, Emilio I. Alarcón, Nadia Zakaria, Keith M. Meek, May Griffith

Bibliographic record

VenueActa Biomaterialia · 2018
Typeerratum
Languageen
FieldMedicine
TopicCorneal Surgery and Treatments
Canadian institutionsUniversité de MontréalHôpital Maisonneuve-RosemontUniversity of Ottawa
Fundersnot available
KeywordsMaterials scienceBiomedical engineeringPeptideRegenerative medicineNanotechnologyCell biologyEngineeringChemistryBiochemistryBiologyStem cell

Abstract

fetched live from OpenAlex

The authors regret that they missed a detail in the Materials and Methods, section, 2.1 Hydrogel implants. Although the CLP sequences were identical, the peptides were synthesized at two different places using the same chemistry. So, to clarify, the first two sentences of the first paragraph should read as follows:

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.217
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0040.003

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 head0.048
GPT teacher head0.324
Teacher spread0.275 · 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
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
Published2018
Admission routes1
Has abstractyes

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