An Update on the Research Activities of the Environmental and Occupational Working Group for the Ontario Health Study (OHS)
Bibliographic record
Abstract
ISEE-0046 Background and Objectives: An Environmental and Occupational (E-O) Working Group has been created to advise on research priorities and develop the E-O component of the Ontario Health Study (OHS). In the next five years, 150,000 participants will be recruited into the OHS. Information from questionnaires, physical measures, biospecimens and individual and community level environmental data will be collected to identify and characterize occupational and environmental causes of cancer. Methods: The E-O Working Group met in January 2009 to discuss prioritization and selection of exposures and/or contaminants for measurement, to develop a proposal for an “Envirobank,” and to develop the E-O questionnaires that will be sent to participants 3 months after baseline data collection. Members were asked to recommend key contaminants or exposures that should be given immediate consideration for measurement in the OHS. Results: Priority exposures include: aflatoxins, brominated flame retardants, EMF, metals, PAHs, perchlorate, perfluorochemicals, pharmaceutical estrogens, NOx, phenols (nonylphenol, bisphenol-A), particulates, select pesticides, phthalates, radon, shift work, solvents, water chlorination byproducts, and WiFi exposures. House dust and drinking water were recommended as the most useful samples to collect for the Envirobank to provide information on priority contaminants. Also recommended was the storage of residual urine (not sent to the Biorepository) from spot urine samples collected at the OHS assessment centers. A proposal to include indoor radon monitoring in a pilot study of 1500 individuals from 3 communities is being developed with the Radiation Protection Bureau of Health Canada. The Environmental Exposures and Residential History questionnaire is under development using the priorities outlined above. The E-O group is also working with the newly established Occupational Cancer Research Center in Ontario in developing the Occupational History and Exposures Questionnaire. Conclusions: The OHS presents a unique opportunity to collect environmental and occupational exposure data and provide more detailed information on absorbed dose for a population-based prospective cohort.
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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 | 0.012 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".