Additional file 1 of Allele-specific quantitation of ATXN3 and HTT transcripts in polyQ disease models
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Additional file 1: Fig. S1. Analyses of ATXN3 and HTT assays specificity. Results from ddPCR assays performed on seven samples with predefined ratios of WT/MUT ATXN3 (A) and HTT (B-C) plasmids (I—100% WT and 0% MUT; II—90% WT and 10% MUT; III—75% WT and 25% MUT; IV—50% WT and 50% MUT; V—25% WT and 75% MUT; VI—10% WT and 90% MUT; VII—0% WT and 100% MUT) using ATXN3_SNP5 (A), HTT_SNP5 (B) and HTT_SNP7 assays (C). Mean/Precise values are indicated on WT/MUT bars ± poisson error.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.967 | 0.000 |
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 it