Seasonal Variation in Inflammatory Breast Cancer
Bibliographic record
Abstract
The epidemiologic characteristics of inflammatory breast cancer (IBC) suggest a strong environmental influence. Preliminary data from cluster studies have suggested that IBC may be precipitated by infectious agents or exposures to various chemicals. To investigate the infectious agent hypothesis we looked for seasonal variation in onset of IBC. Methods: We compared the IBC incidences in Canada and the states in the United States with cold winter temperatures to IBC incidences in states with milder winter temperatures. The IBC cases were characterized by the state they lived in and season, when diagnosed. Results: Of the 306 IBC cases that were evaluable, the average number of cases per month in the winter was 20.3, compared to 27.2 diagnosed in the rest of the year. Of the 203 cases in the cold winter group, the average number in winter months was 13 vs. 18.2 for the non-winter months. In the other group of 103 patients, the average number in winter was 7.3 vs. 9 in the non-winter months. The percentage of cases diagnosed in winter in the cold winter group was lower than in the high winter group.
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How this classification was reachedexpand
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 | 0.002 | 0.001 |
| 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".