Modelling the Ion Channel Behaviour of Articular Chondrocytes
Bibliographic record
Abstract
All cells have a membrane potential; this voltage difference arises from the different intracellular and extracellular ion concentrations. In excitable tissue the cell membranes contain ion channels which control the movement of ions and hence control the cell’s membrane potential. Extensive measurements of the electrophysiology of excitable cells has allowed considerable understanding of the ion channels. The Hodgkin-Huxley model [1] was developed from measurements on a squid nerve axon, and it quantifies the changes in membrane conductance due to the opening and closing of specific ion channels. This model has been very successful in describing the electrical behaviour of neurons. Ion channels also exist in non-excitable tissue cells. Patch clamp experiments have demonstrated that ion channels in chondrocytes influence cell’s membrane potential [2]; controls the influx of Ca2+ [3] and may regulate cell proliferation [2]. The objective of this research was to develop a model of ion channel behaviour for connective tissue cells based on the Hodgkin-Huxley model, and to apply this model to reported patch clamp measurements of articular chondrocytes.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".