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Record W2007924921 · doi:10.1117/12.722419

Requesting and specifying thermographic inspection services through the National Master Specification (NMS) in Canada

2007· article· en· W2007924921 on OpenAlexaffabout
Antonio Colantonio, Michel Theauvette

Bibliographic record

VenueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2007
Typearticle
Languageen
FieldEngineering
TopicThermography and Photoacoustic Techniques
Canadian institutionsPublic Works and Government Services Canada
Fundersnot available
KeywordsScope (computer science)Government (linguistics)Computer scienceService (business)LiabilityEngineering managementConstruction engineeringEngineeringBusinessAccountingMarketing

Abstract

fetched live from OpenAlex

The Canadian National Master Construction Specification (NMS) is the most comprehensive master specification available commercially in North America; each section serves as an easy-to-use framework for writing construction project specifications. The NMS Secretariat contracted, through consultations with the building industry and departmental experts in Public Works and Government Services Canada, the development of four new specification sections for commonly implemented infrared thermographic services associated with building construction and maintenance. These include inspection services for building envelopes, roofs, mechanical equipment, and electrical systems. This paper will introduce the four types of inspection services found in these sections and discuss the relevant information that each service provides. Additionally, the paper will highlight the important differences of each type of inspection services, thus explaining the need to develop individual specification sections to correspond for each type of infrared thermographic inspection service. These sections include all aspects of such services and are all encompassing in their scope. The NMS maximizes protection against duplication and errors, while minimizing chances of risk, misunderstanding and liability. It can be edited and adapted for any size and type of construction project, for government or the private sector. Building owners and property managers can integrate these thermographic specifications into their Project Manuals or incorporate them into contractual documents to call up services for building condition studies. Although the NMS was primarily designed for use in the commercial and light industrial building industry, the residential construction industry can benefit as well, by modifying any section for their use. This paper will discuss these differences, and provide suggestions for the development of such a residential specification format.

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)0.016
metaresearch head score (Gemma)0.031
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: Empirical · Consensus signal: none
Teacher disagreement score0.090
Threshold uncertainty score0.654

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.031
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.006
Science and technology studies0.0080.003
Scholarly communication0.0090.005
Open science0.0040.004
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0260.015

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 head0.015
GPT teacher head0.218
Teacher spread0.203 · 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
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

Citations1
Published2007
Admission routes2
Has abstractyes

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Same venueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIESame topicThermography and Photoacoustic TechniquesFrench-language works237,207