Bibliographic record
Abstract
<b> Figure S2 data </b> <br><br> Includes: <br> -Panels A,C,D,E,F additional biological replicates acquired to supplement data shown in Figure 1D and Figure 2C,D,E,F respectively. Date acquired, Cell line, and mCerulean3-donor is given within each Excel worksheet. Raw binding curve data was binned by Venus intensity. Here we provide the resulting binned data, and fitting parameters exported from GraphPad prism used to create the binding curves that were displayed in the Supplementary.<br><br> <br> AnnexinV (AnV) positivity, TMRE negativity, and/or nuclear area condensation ('SN' = 'small nuclear area') were used as a marker of cell death in panels G-H. <br> -Panel G, cell death was measured in BMK, HCT116 or BMK/HCT116 cells with BAX and BAK knocked out ('DKO'). Here we provide the mean cell death measured in Venus-positive cells from 3 biological replicates. <br><br> -In Panel H, cell death was measured in HEK293T cells and from one technical replicate, we binned data by Venus intensity as a measure of protein concentration to examine trends.
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How this classification was reachedexpand
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.149 | 0.002 |
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; both teacher heads agree on what is shown here.
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".