Additional file 1 of Functional identification of potential non-canonical N-glycosylation sites within Cav3.2 T-type calcium channels
Bibliographic record
Abstract
Additional file 1. Figure S1 Electrophysiological properties of Cav3.2 channel variants. a Mean normalized voltage-dependence of activation for wild-type (WT) Cav3.2 channels (black circles), and N258Q (blue circles), N335Q (green circles), N345Q (purple circles), N1780Q (orange circles). b Corresponding mean half-activation potential values obtained from the fit of the activation curves with a modified Boltzmann equation. c-d Legend same as for (a-b) but for the voltage-dependence of steady state inactivation. e Mean normalized recovery from inactivation kinetics. f Corresponding mean time constant values of recovery from inactivation obtained from the fit of the recovery curves with a single-exponential function. Figure S2 Effect of nickel on Cav3.2 channel variants. a Representative T-type current traces recorded from tsA-201 cells expressing wild-type (WT, black traces), N345Q (purple traces) and N1780Q (orange traces) Cav3.2 variants recorded in response to 150 ms depolarizing steps to -20 mV from a holding potential of -100 mV before (Ctrl) and after application of 50 μM nickel (Ni+). b Corresponding mean peak current inhibition.
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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 | 0.002 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.906 | 0.245 |
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".