Design and Implementation of a Web-based Multi-user Data Analysis Environment for a Vancouver Island Drug-checking Initiative
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This project provides the detailed design and implementation details of a web-based multi-user data analysis and visualization environment for a Vancouver Island drug-checking initiative, along with the design of an accompanying website. It also includes the data analysis performed to answer some initial research questions. \n \nThe drug-checking project collects analytical chemical data and survey data during the process for detailed analysis and data mining. The web-based multi-user data analysis environment enables people interested in analysis of drug-checking data to effectively collaborate using this database and also allows them to access all the required scientific, data analysis tools and libraries. \n \nThe website is intended to communicate the results and findings to the public for harm reduction. It displays the aggregate results from the data and features interactive data visualization to educate users about component mixture analysis. It also provides information about the drug-checking program to different stakeholders including users of drug-checking service, chemists, social workers, harm reduction workers, pharmacists, and those interested in further developing the instrumental methods. It provides information about mission and goals of the project, services offered, research aspects of the project, technologies used and some frequently asked questions.
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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 | 0.001 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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 it