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Record W3045044100 · doi:10.1007/s12079-020-00573-4

Et tu, CCN1….

2020· article· en· W3045044100 on OpenAlexaff
Andrew Leask

Bibliographic record

VenueJournal of Cell Communication and Signaling · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicConnective Tissue Growth Factor Research
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsCYR61CTGFMatricellular proteinSteatohepatitisFibrosisTransforming growth factorCancer researchGrowth factorMechanotransductionMedicineBiologyCell biologyPathologyDiseaseExtracellular matrixFatty liverInternal medicine

Abstract

fetched live from OpenAlex

The CCN family of matricellular proteins are recognized bona fide targets for therapeutically targeting so-called chronic inflammatory diseases, including fibrosis and cancers. The majority of the work supporting this contention has been derived from examining CCN2, formerly, and unhelpfully, termed "connective tissue growth factor." Both CCN2, and its related protein, CCN1, formerly termed "cysteine-rich protein 61", are positively regulated by not only TGFbeta, but also by the hippo/YAP/TAZ mechanotransduction pathway that appears to drive these pathologies. Indeed, increasing evidence indicates that CCN1 also contributes to these fibrosis and cancers and, consequently, targeting both CCN2 and CCN1 simultaneously could be of therapeutic value. This commentary focuses on a recent, exciting paper (Ju et al., 2020, Scientific Reports, 10, 3201) suggesting that CCN1 is a target for non-alcoholic steatohepatitis (NASH).

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.070
Threshold uncertainty score0.175

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.039
GPT teacher head0.309
Teacher spread0.270 · 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 teacher head, 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
Published2020
Admission routes1
Has abstractyes

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