Additional file 5 of Host, reproductive, and lifestyle factors in relation to quantitative histologic metrics of the normal breast
Bibliographic record
Abstract
Additional file 5. Table S1: Frequencies of missing values for each variable included the current analysis of 4108 women from the Komen Tissue Bank Study. Table S2: Associations of host, reproductive, and lifestyle factors with epithelium-to-stroma proportion among healthy women volunteers participating in the Komen Tissue Bank project, using missing values indicators, and following multiple imputation (N = 4108). Table S3: Associations of risk factors with epithelium-to-stroma proportion among healthy women volunteers participating in the Komen Tissue Bank project, with and without adjustment for age at first full-term birth (AFFB). Table S4: Associations of host, reproductive, and lifestyle factors with quantitative tissue composition metrics among healthy premenopausal women participating in the Komen Tissue Bank project (N = 2696). Table S5: Associations of host, reproductive, and lifestyle factors with quantitative tissue composition metrics among healthy postmenopausal women participating in the Komen Tissue Bank project (N = 1412).
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.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.438 | 0.071 |
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".