Bibliographic record
Abstract
Abstract The sections in this article are: A Brief Historical Perspective and Prelude to the Review Physiological Role of The Cardiac Na + ‐Ca 2+ Exchanger Reverse Na + ‐Ca 2+ Exchange as A Trigger for SR Ca 2+ Release Digitalis Effects Immunolocalization Transport Properties Stoichiometry Transport Mechanism Turnover Rates and Exchanger Density Ion Selectivity Temperature Dependence Molecular Biology of the Na + ‐Ca 2+ Exchanger The Prototypical Canine Cardiac Na + ‐Ca 2+ Exchanger The Exchanger Superfamily Topology of the Na + ‐Ca 2+ Exchanger The Calx‐α and Calx‐β Repeats Alternative Splicing of Na + ‐Ca 2+ Exchangers Regulation of Na + ‐Ca 2+ Exchange Ionic Regulation Structure–Function Relationships of Ionic Regulation Regulation by Phosphorylation Regulation by PIP 2 Regulation by pH Cytoskeletal Interactions Pharmacology of Na + ‐Ca 2+ Exchange The Exchanger Inhibitory Peptide, XIP Other Peptide Inhibitors KB ‐R7943 Other Inhibitors Studies in Transgenic Mice Adenoviral Transfection of Na + ‐Ca 2+ Exchange Proteins Antisense Oligonucleotides Frequency‐Dependent Behavior of Na + ‐Ca 2+ Exchange Developmental Changes Species Differences Pathophysiological Alterations in Na + ‐Ca 2+ Exchange Contribution of Na + ‐Ca 2+ Exchange to Cardiac Injury Alterations in Na + ‐Ca 2+ Exchange Levels Summary
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".