Additional file 2 of Fear response-based prediction for stress susceptibility to PTSD-like phenotypes
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 2: Supplemental Fig. 2. Anxious behaviors do not correlate with occurrence of PTSD-like phenotypes. (A) Anxiety levels of stressed mice do not correlate with PTSD-like behaviors. Neither the amount of time that stressed mice spent in the open arms of the EPM (top left, Pearson correlations, R = − 0.03426) nor the number of entries that stressed mice made into open arms (bottom left, R = − 0.01298) correlated with the fear generalization indices. Neither the amount of time that stressed mice spent in the open arms of the EPM (top right, R = − 0.01298) nor the number of entries that stressed mice made into open arms (bottom right, R = 0.06744) correlated with freezing responses 24 h after memory extinction. (B) Anxiety levels of unstressed control mice do not correlate with PTSD-like behaviors. Neither the amount of time that control mice spent in the open arms of the EPM (top left, R = − 0.09436) nor the number of entries that control mice made into open arms (bottom left, R = 0.09593) correlated with the fear generalization indices. Neither the amount of time that control mice spent in the open arms of the EPM (top right, R = − 0.2067) nor the number of entries that stressed mice made into open arms (bottom right, R = 0.09174) correlated with freezing responses 24 h after memory extinction.
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 | 0.005 |
| 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) | 0.801 | 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