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Record W2144037100 · doi:10.1007/s12079-010-0110-2

Will o’ the wisp: CCN4 as a novel molecular target in osteoarthritis

2010· article· en· W2144037100 on OpenAlex
Andrew Leask

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Cell Communication and Signaling · 2010
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicConnective Tissue Growth Factor Research
Canadian institutionsWestern University
Fundersnot available
KeywordsOsteoarthritisWnt signaling pathwayMedicineArthritisCartilageRheumatismPhenotypeBioinformaticsIn vivoChondrocyteInternal medicinePathologyBiologySignal transductionAlternative medicineCell biologyGeneGeneticsAnatomy

Abstract

fetched live from OpenAlex

Osteoarthritis (OA), or degenerative arthritis, is characterized by mechanical stress-induced changes in cartilage and bone. OA is a leading cause of chronic disability in North America and Europe. A recent study written by Blom and colleagues (Arthritis and Rheumatism 2009; 60:501-12) showed that elevated wnt signaling was observed in experimental OA as well as in patient samples. The authors found that the known wnt target WISP-1 (CCN4) was also overexpressed; CCN4 was sufficient to recapitulate an OA phenotype in vitro and in vivo, suggesting that CCN4 may be a novel target for drug intervention in OA. This commentary summarizes these exciting findings.

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.

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 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 score0.025
Threshold uncertainty score0.228

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.010
GPT teacher head0.271
Teacher spread0.262 · 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