Additional file 2 of A simple and reliable method for claustrum localization across age in mice
Bibliographic record
Abstract
Additional file 2: Table S1. Individualized marker quantification and colocalization in the claustrum (CLA), primary motor cortex (MOp), and somatosensory cortex (SSC) for each mouse at different postnatal ages. Values represent mean cell count per slice. For the claustrum, the mean was calculated by averaging data across the anterior, middle, and posterior subdivisions. The first column reflects mouse age, where P(x) indicates postnatal day when tissue was collected. For each age, mice were derived from ≥ 2 litters. F female, M Male. Table S2. Quantification and one-way ANOVA analysis of marker colocalization with GFP+ cells in different claustrocortical anteroposterior subdivisions of the claustrum (CLA), following retrograde tracing from different cortical regions. ACC: anterior cingulate cortex, MOp: primary motor cortex, LEC: lateral entorhinal cortex, RSC: retrosplenial cortex, std dev: standard deviation. Mean ± std dev values represent the percentage of marker colocalization with GFP+ cells relative to total GFP+ cells. Table S3. Individualized marker quantification and colocalization with claustrum cells that express Tdtomato (TdT) for each mouse at different postnatal stages. AAVretro-CAG-TdT was injected into the anterior cingulate. The values represent mean cell count within coronal slices, averaged across the anterior, middle, and posterior claustrum for individual mice. The first column reflects mouse age, where P(x) indicates postnatal day when tissue was collected. For each age, mice were derived from ≥ 2 litters. F female, M Male. Datasets 1 and 2 were either derived from adjacent slices or different mice. Table S4. Individualized marker quantification and colocalization with claustrum cells that express cFos for each mouse in the naive and open field (OF) groups. Numbers represent mean cell count per slice, averaged across the anterior, middle, and posterior claustrum. The first column reflects mouse age, where P(x) indicates the postnatal day when tissue was collected. F female, M Male.
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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 | 0.018 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.790 | 0.205 |
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".