Atmospheric Atrazine at Canadian\nIADN Sites
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
Atrazine is one of the most widely used herbicides in\nNorth America and has been primarily applied to corn\nproduction in the Great Lakes basin for over 30 years. During\n1996−2002, atrazine concentrations in the atmospheric\ngas and particle phases were investigated at three Canadian\nIntegrated Atmospheric Deposition Network (IADN) sites\nincluding two lakeside sites (Burnt Island and Point Petre)\nand a rural inland site (Egbert). Strong seasonality with\npeak concentrations occurring in late April−early July was\nobserved. An atrazine usage map for Canada (sum: 870\nt) and the United States (sum: 34 500 t) in 2002 was created.\nLocal application and regional atmospheric transport\nboth appear to contribute to its atmospheric occurrence,\nwhile the latter might episodically result in high concentrations\nevents. No strong temperature dependence was observed\nfor atrazine particle−gas partitioning. Recent measurement\nresults of atrazine in precipitation samples collected at Egbert\nand another agricultural site, Vineland, through the\nCanadian Atmospheric Network for Currently Used Pesticides\n(CANCUP), are also presented. Dry, wet, and gas exchange\ndeposition all contribute to atmospheric inputs of atrazine\nto the Great Lakes. For Lake Ontario, gas exchange is estimated\nto be of similar magnitude to dry and wet deposition.
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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 | 0.000 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.653 | 0.017 |
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