A Review of the Components, Coefficients and Technical Assumptions of Ontario's Lakeshore Capacity Model
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
Abstract Phosphorus is the nutrient that most often limits the primary productivity of inland lakes on the Precambrian Shield. Recognizing the need to develop quantitative relationships to assess the impact of shoreline development on phosphorus concentrations in lakes, the Lakeshore Capacity Model (LCM) was developed by the Ontario Ministry of the Environment, Canada. The LCM is a steady-state mass-balance model that uses empirical relationships to predict the ice-free total phosphorus concentration of a lake. The model, calibrated and tested on lakes on the Precambrian Shield, has subsequently formed the basis for management decisions in the public and private sectors. Over the past two decades the coefficients, input parameters and assumptions of the LCM have been modified and updated to reflect an improved scientific understanding of the relative importance of sources and losses of phosphorus in lakes and watersheds. Here we present a comprehensive review of the components, coefficients and assumptions of the most recent version of the LCM (v. 3.0), providing a standard reference for all users of the model.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 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