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Record W7098817757

Wards: All Wards Reference

2007· article· en· W7098817757 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicLeaf Properties and Growth Measurement
Canadian institutionsnot available
Fundersnot available
KeywordsWastewaterProduct (mathematics)Industrial waterCurrent (fluid)Water utilityWater industryWater supply
DOInot available

Abstract

fetched live from OpenAlex

Number: P:\\2007\\Internal Services\\Cf\\ec07024Cf – et (AFS #3419) SUMMARY This report presents a review of current practices and rate structures respecting the water and wastewater program, and an analysis of a number of options to provide for a new water rate structure that is fairer, transparent and conducive to improving the City’s industrial and manufacturing base. The current seven-block volume based rate structure, a product of amalgamation, is complex, benefits few consumers without any real focus, and results in similar consumers paying different rates. A comparison of the water and wastewater rates and rate structures of the surrounding municipalities and other major cities showed water and wastewater costs to be generally lower in Toronto for residential customers. However, such is not the case for large-volume users, where this difference becomes more evident at higher consumptions. The City’s larger industrial employers would find costs to be as much as 20%-25 % lower in Peel, Durham, Vaughan and Hamilton, and 35 % lower in London, Ontario.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.082
Threshold uncertainty score0.117

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0020.001
Scholarly communication0.0050.002
Open science0.0020.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.9180.891

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 head0.088
GPT teacher head0.247
Teacher spread0.159 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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
Published2007
Admission routes1
Has abstractyes

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