Report on the fourth international workshop on the CCN family of genes
Bibliographic record
Abstract
The meeting venue at the Hotel Limani in Ushimado provided elegant surroundings and an atmosphere that encouraged close interaction and discussion among the participants as well as a unique environment to enjoy the finest in Japanese hospitality.Opening remarks from Prof. Perbal and Prof. Takigawa nicely set the stage for the ensuing platform presentations and poster session where numerous aspects of CCN biology, disease relevance, and opportunities for therapeutics were covered.In Session I, on Regulation of Gene Expression, B. Chaqour (SUNY, Downstate Medical Center, NY) reported on rapid induction of CCN2 expression in cyclically stretched bladder smooth muscle cells and involvement of NF-κB therein.CCN2 induction was highly dependent on integrity of the actin network and cytoskeletal organization reinforcing the idea that mechanical movements modulate CCN2 expression.Further studies were presented on an in vivo model of bladder outlet obstruction where upregulation of CCN2 may account for pathological alterations after mechanical overload.S Kubota from Prof. Takigawa's group (Dept. of Biochemistry and
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.023 | 0.004 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".