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Record W6966672356 · doi:10.4224/2ehs-dp68

National Plumbing Code of Canada: 2020

2022· standard· en· W6966672356 on OpenAlexvenueaboutno aff

Bibliographic record

VenueNPARC · 2022
Typestandard
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsInterimNational GridEuropean commissionNational standardSewerageCode (set theory)Block (permutation group theory)

Abstract

fetched live from OpenAlex

The National Plumbing Code of Canada (NPC) 2020, developed by the Canadian Commission on Building and Fire Codes and published by the National Research Council of Canada, sets out technical requirements for the design and installation of new plumbing systems, as well as the extension, alteration, renewal and repair of existing plumbing systems. Over 50 technical changes have been incorporated in this new edition, improving the level of safety, health, water-use efficiency, and protection from water and sewage damage provided by the Code, and expanding design and material options. Significant changes in the NPC 2020 • Fibrocement pipe and fittings are included as alternatives to asbestos-cement materials, which were removed from the NPC 2015 as an interim change. • Other new plumbing materials are added as options, including polyethylene of raised temperature (PE-RT) tube, cellular core polyvinyl chloride (PVC) pipe, and their fittings. • The maximum temperature for water discharging from shower heads or into bathtubs is reduced in healthcare facilities and seniors’ residences to prevent scalding. • Gate valves and screw caps, which require manual intervention, are removed as options for backflow protection to reduce the risk of basement flooding. • Design requirements for non-potable rainwater harvesting systems are introduced to facilitate the collection and use of rainwater.

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)0.004
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.062
Threshold uncertainty score0.306

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.010
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.005
Science and technology studies0.0050.002
Scholarly communication0.0050.002
Open science0.0040.002
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0620.044

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 head0.017
GPT teacher head0.253
Teacher spread0.236 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2022
Admission routes2
Has abstractyes

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