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Record W3119528223

Pipeline security and emergency planning/response

2003· article· en· W3119528223 on OpenAlexaboutno aff
S Lee, C Van Egmond, Lyanne Jansen, Jasmine Travers

Bibliographic record

VenueOSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) · 2003
Typearticle
Languageen
FieldSocial Sciences
TopicBorder Security and International Relations
Canadian institutionsnot available
Fundersnot available
KeywordsPipeline (software)Computer securityEmergency managementPreparednessPipeline transportDeterrence theoryEmergency planningEnforcementVulnerability (computing)Perspective (graphical)Law enforcementRisk analysis (engineering)BusinessEngineeringComputer sciencePolitical scienceLaw
DOInot available

Abstract

fetched live from OpenAlex

The presentations by Working Group 12 examined whether the security of Canada's pipeline infrastructure is being adequately addressed with particular reference to how industry operators are reacting to the changing regulatory expectations regarding security of pipelines and their associated facilities. It was emphasized that an emergency management structure must be in place and operational to protect the pipeline infrastructure and to mitigate the consequences of an attack, including the vulnerability of computer networks. Discussions focused on both an operator's perspective of evolving regulatory expectations as well as the perspective of the federal regulator. Response by industry operators to major pipeline failures were reviewed, along with a look at how operators are involving the public in emergency response planning and determining what level of public consultation is appropriate. It also included a debate as to whether pipeline security should focus on deterrence, emergency preparedness, law enforcement, intelligence, or communications. tabs., figs.

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)0.002
metaresearch head score (Gemma)0.003
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 score0.588
Threshold uncertainty score0.829

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0050.004
Scholarly communication0.0050.002
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0260.001

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 head0.018
GPT teacher head0.286
Teacher spread0.268 · 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
Published2003
Admission routes1
Has abstractyes

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Same venueOSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)Same topicBorder Security and International RelationsFrench-language works237,207