Additional file 6 of Delineating three-dimensional behavior of uveal melanoma cells under anchorage independent or dependent conditions
Bibliographic record
Abstract
Additional file 6: Figure S6. (A) Cytotoxic core on AF spheres presented apoptotic features (green signal as measure by activation of caspase 3/7). Nuclei were counterstained with Hoechst (blue). (B-E) Impact of long-term culture in the absence of MC on cell vitality and size (ULAP condition). (B) Merges of green (vitality) and red (toxicity) channels. (C and D) Graphs depicting data of analyzed MCTs as shown in B. (C) No changes on MCTs vitality was observed between day 4 and day 7. (D) Increased cell toxicity was observed on day 7 for 92.1, OMM2.5, and MP41 cells. (E) MCTs areas were not different between day 4 and 7. Data are presented as mean ± SEM, (n = 5, **p < 0.01, ***p < 0.001). (F-I) Impact of long-term culture in the presence of MC on cell vitality and MCTs size (ULAP condition). (F) Merges of green (vitality) and red (toxicity) channels. (G and H) Graphs depicting data of analyzed MCTs as shown in F. (I) MCTs size analyses. Increase in the total area of MCTs derived from 92.1, MEL270, and MP41 cells, which was associated with a significant increase in cell toxicity (H). In general, cell vitality is maintained during the seven days (G), the increase on vitality for OMM2.5 was associated with the increase in cell toxicity (H). Data are presented as mean ± SEM, (n = 5, **p < 0.01, ***p < 0.001).
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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 | 0.022 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.900 | 0.217 |
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".