MétaCan
Menu
Back to cohort
Record W6910449798 · doi:10.4224/40002662

Practical guidance for private-side drainage systems to reduce basement flood risk: addressing critical information gaps

2021· standard· en· W6910449798 on OpenAlexfundvenueaboutno aff

Bibliographic record

VenueNPARC · 2021
Typestandard
Languageen
Field
Topic
Canadian institutionsnot available
FundersMinistry of Education, IndiaMinistry of EnvironmentInstitute for Catastrophic Loss Reduction
KeywordsFlood mythDrainageBasementFoundation (evidence)Drainage system (geomorphology)Complement (music)

Abstract

fetched live from OpenAlex

This guide is intended to provide a basis for the development of guidance on foundation drainage systems, sump pump systems, backwater protection for foundation drainage systems, and private-side sanitary sewer connections (also referred to as “sanitary building sewers”), as these components of private-side drainage systems are used to mitigate basement flood risk for new and existing National Building Code of Canada (NBC) Part 9 residential buildings. The recommendations in this guide are meant to complement the measures for basement flood protection outlined in CSA Z800-18, “Guideline on Basement Flood Protection and Risk Reduction.”

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)0.010
metaresearch head score (Gemma)0.022
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 score0.168
Threshold uncertainty score0.333

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.022
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0030.003
Scholarly communication0.0050.006
Open science0.0040.003
Research integrity0.0080.004
Insufficient payload (model declined to judge)0.0470.029

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 head0.055
GPT teacher head0.375
Teacher spread0.320 · 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

Citations1
Published2021
Admission routes3
Has abstractyes

Explore more

Same venueNPARCFrench-language works237,207