Development, Construction, and Use of Lime and Alum Application Systems in Alberta, Canada
Bibliographic record
Abstract
ABSTRACT Between 1986 and 1993, a variety of systems, ranging from simple to complex, were designed for lime (slaked lime (Ca(OH)2) or calcite (CaCO3)) and alum (Al2(SO4)3) application to water bodies in Alberta, Canada. Application systems were used both experimentally, to determine the effectiveness of lime and alum in reducing phosphorus and algae, and commercially, for the treatment of water bodies with excessive algal and/or macrophyte growth. System designs ranged from inexpensive, easy to assemble but labour-intensive prototype models, to commercially viable, low-labour requirement systems, capable of applying chemicals to aquatic systems ranging in size from small water bodies (about 300 m2) to medium-sized lakes (about 75 ha). Results of these projects suggest that, while all systems were effective for the treatment of problem algae and macrophytes, local conditions, efficiency, and cost must determine each system's usefulness.
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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 | 0.000 | 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 | 0.000 | 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".