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Record W2790270831 · doi:10.4095/306492

Optimal use of source water protection modelling results

2018· report· en· W2790270831 on OpenAlexaboutno aff
G Carpio

Bibliographic record

Venuenot available
Typereport
Languageen
FieldEngineering
TopicWater Systems and Optimization
Canadian institutionsnot available
Fundersnot available
KeywordsWater sourceEnvironmental scienceWater resource management

Abstract

fetched live from OpenAlex

The Source Water Protection (SWP) Program, with the purpose of protecting the surface or groundwater that supplies municipal drinking water systems, has been managing the development of water resources numerical models at various conservation authorities (CAs). For the Central Lake Ontario Conservation Authority (CLCOA), groundwater models have been developed to support work under Oak Ridges Moraine Conservation Plan (2001), the Clean Water Act (2006) and CLOCA's watershed management program. CLOCA analyzed each dataset and grid results for optimum use in source protection as well as other CA programs. The grid results were used to calculate water balance for various purposes such as watershed management planning, development plan reviews, and opportunities for low impact developments. Reverse particle tracking path lines provided information to identify the natural and ecological features that could potentially be impacted by proposed developments and/or land use changes. Other vital grids and theme maps utilized include, but are not limited to, groundwater discharge to streams, ecologically significant groundwater recharge areas and highly vulnerable aquifers. In the absence of wellhead protection areas (WHPA) within its jurisdiction, CLOCA has determined that the numerical model development instituted under the SWP Program has more utility for purposes beyond the initial objective of the program. The numerical model products serve as additional science-based planning tools that are defensible for CA to manage and protect the water resources within its watershed.

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.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.919
Threshold uncertainty score0.555

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.068
GPT teacher head0.217
Teacher spread0.149 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreMethods

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".

Quick stats

Citations0
Published2018
Admission routes1
Has abstractyes

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