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Record W2562142439

Multi-Model Custodianship: Needs, Development and Challenges

2016· article· en· W2562142439 on OpenAlexaboutno aff
Mason Marchildon, Thorsten Arnold, Steve Holysh, Rick Gerber

Bibliographic record

VenueScholarsArchive (Brigham Young University) · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicIntergenerational Family Dynamics and Caregiving
Canadian institutionsnot available
Fundersnot available
KeywordsBusinessComputer sciencePolitical scienceLaw and economicsEconomics
DOInot available

Abstract

fetched live from OpenAlex

In 2000, the province of Ontario, Canada, embarked on a Source Water Protection program with the objective of providing multi-level protection for drinking water supplies. This initiative was instigated by a tragedy in the town of Walkerton where multiple deaths resulted from ingestion of e-coli contaminated groundwater. As part of the Source Water Protection Program, numerous technically- sophisticated regional-scale hydrological models have been developed. As a result, local government agencies (municipal and conservation authority) have found themselves on a new pathway for water resources management that intends to utilize these numerical models as key tools for understanding and managing water supplies in Ontario. The numerical models have been built at considerable cost to the public and have resulted in the collection, analysis and interpretation of a wealth of data, knowledge and information, all of which have been synthesized into an understanding of the flow systems across broad parts of the province. Given the rapid pace with which the Source Water Protection program was executed, there was little time and effort spent in planning for the longer term management of the numerical models that were prepared. As a result, the numerical models are at risk of becoming out-dated and orphaned as one-off modelling studies rather than being integrated into an ongoing water resources management system. Through the Oak Ridges Moraine Groundwater program, a numerical model custodianship program has been developed to manage over fifty numerical models that cover a third of southern Ontario. The models have been built using a multitude of modelling platforms. In developing the custodianship program, a model management guidance manual has been prepared that addresses issues associated with model custodianship. The presentation will discuss some of the key issues involved in managing the models, including intellectual property, model sharing, model upgrading/refinement, legal and governance aspects. The paper highlights the important role public agencies must play to develop and maintain a cost-effective modelling plan when addressing the ongoing challenges involved with water resources management.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.932
Threshold uncertainty score0.674

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 studies0.0010.000
Scholarly communication0.0000.001
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 head0.042
GPT teacher head0.243
Teacher spread0.201 · 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 designTheoretical or conceptual
Domainnot available
GenreEmpirical

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
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueScholarsArchive (Brigham Young University)Same topicIntergenerational Family Dynamics and CaregivingFrench-language works237,207