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Record W6947905851 · doi:10.4224/20374528

Portable air cleaner protocol evaluation report

2011· report· en· W6947905851 on OpenAlexvenueaboutno aff

Bibliographic record

VenueNPARC · 2011
Typereport
Languageen
FieldComputer Science
TopicResearch Data Management Practices
Canadian institutionsnot available
Fundersnot available
KeywordsProtocol (science)Test (biology)JurisdictionMontreal ProtocolPilot testProcess (computing)

Abstract

fetched live from OpenAlex

NRC-IRC has initiated a multi-year project to develop technological solutions protocols to improve indoor air quality. Under this activity, portable air cleaners (PACs), commercial air duct cleaning (DC) and heat/energy recovery ventilators (H/ERV) were chosen out of 50 technologies from around the world, using a ranking process developed at NRC. This test report deals with the evaluation of the portable air cleaner protocol test method. It is prepared by NRC researchers under the guidance of the Technical Advisory Committee (TAC) whose members are participants representing Federal and Provincial Agencies, Industry Associations, Non-Governmental Organizations (NGOs), Municipal governments, and Standards Associations from Canada. Compliance to this protocol test method is voluntary until and unless a jurisdiction makes compliance mandatory through legislation.

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)0.323
metaresearch head score (Gemma)0.408
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.323
Threshold uncertainty score0.835

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.3230.408
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0070.006
Science and technology studies0.0050.003
Scholarly communication0.0080.004
Open science0.0040.003
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0480.025

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 head0.282
GPT teacher head0.457
Teacher spread0.175 · 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.

Study designNot applicable
Domainnot available
GenreReview

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
Published2011
Admission routes2
Has abstractyes

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