Additional file 3 of Effects of hyperinsulinemia on pancreatic cancer development and the immune microenvironment revealed through single-cell transcriptomics
Bibliographic record
Abstract
Additional file 3: Fig. S1. Amylase activity and pancreatic area of PK-Ins1-/-;Ins2+/+ and PK-Ins1-/-;Ins2+/- mice and the sex difference in PanIN development. A-B The amylase activity in male (A) and female mice (B) for each genotype. C-D The comparison of percent of total pancreatic area occupied by PanINs and tumor (C) or only PanINs (excluding tumor bearing mice) (D) in male and female PK-Ins1-/-; Ins2+/+ mice (n= 15-22) (dark blue and dark orange dots denote mice that developed tumors). E The comparison of percent of total pancreatic area occupied by only PanINs in male and female PK-Ins1-/-; Ins2+/- mice (n= 10-14). F The comparison of percent of total pancreatic area occupied by ADM in male and female PK-Ins1-/-; Ins2+/+ mice (n= 16-22). G The comparison of percent of total pancreatic area occupied by ADM in male and female PK-Ins1-/-; Ins2+/- mice (n= 10-14). H The total pancreatic area for mice in an Ins2-null background or in an Ins1-null background. I-J Correlations of adipocyte area with PanIN area in non-tumor bearing male (I) and female (J) PK-Ins1-/-;Ins2+/+ (dark colors) and PK-Ins1-/-;Ins2+/- (light colors) mice (n = 10-22). ****p<0.0001. Values are shown as mean ± SEM.
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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 | 0.021 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.825 | 0.160 |
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".