Bibliographic record
Abstract
The ability of cells to reliably fire action potentials is critically dependent upon the maintenance of a hyperpolarized resting potential, which allows voltage-gated Na(+) and Ca(2+) channels to recover from inactivation and open in response to a subsequent stimulus. Hodgkin and Huxley first recognized the functional importance a small, steady outward leak of K(+) ions to the resting potential, action potential generation and cellular excitability, and we now appreciate the contribution of inward rectifier-type K(+) channels (Kir or KCNJ channels) to this process. More recently, however, it has become evident that two-pore domain K(+) (K2P) channels also contribute to the steady outward leak of K(+) ions, and thus, maintenance of the resting potential. Molecular cloning efforts have demonstrated that K2P channel exist in yeast to humans, and represent a major branch in the K(+) channel superfamily. Humans express 15 types of K2P channels, which are grouped into six subfamilies, based on similarities in amino acid sequence and functional properties. Although K2P channels are not voltage-gated, due to the absence of a canonical voltage sensor domain, their activity can be regulated by a variety of stimuli, including mechanical force, polyunsaturated fatty acids (PUFAs) (e.g., arachidonic acid), volatile anesthetics, acidity/pH, pharmacologic agents, heat and signaling events, such as phosphorylation and protein-protein interactions. K2P channels thus represent important regulators of cellular excitability by virtue of their impact on the resting potential, and as such, have garnered considerable attention in recent years.
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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 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.008 |
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".