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Record W6888050176 · doi:10.17895/ices.pub.24752286.v1

Strategic Environmental Assessments for the Newfoundland and Labrador Offshore Area

2014· other· en· W6888050176 on OpenAlexaboutno aff

Bibliographic record

VenueOpen MIND · 2014
Typeother
Languageen
FieldEngineering
TopicAdvanced DC-DC Converters
Canadian institutionsnot available
Fundersnot available
KeywordsSubmarine pipelinePetroleumResource (disambiguation)Statutory lawAuthorizationEnvironmental impact statementPetroleum industryEnvironmental impact assessment

Abstract

fetched live from OpenAlex

No abstracts are to be cited without prior reference to the author. The Canada—Newfoundland and Labrador Offshore Petroleum Board (C-NLOPB) is responsible for petroleum resource management in the Newfoundland and Labrador Offshore Area on behalf of the Governments of Canada and Newfoundland and Labrador. The C-NLOPB facilitates the exploration and development of petroleum resources in accordance with statutory provisions. The Board’s regulatory responsibilities include the administration and issuance of licences, authorizations and approvals. Since 2002 the C-NLOPB has been undertaking Strategic Environmental Assessments (SEAs) in offshore areas that have not yet been subject to substantial levels of project-based environmental assessments, but where the issuance of Exploration Licences could be contemplated. The SEAs provide information on the environmental setting and environmental considerations that help to inform subsequent regulatory decisions regarding future offshore oil and gas activities in the area. Information from an SEA assists the C-NLOPB in determining whether exploration rights should be offered, as well as identifying any general restrictive or mitigative measures for application to future projects.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.235
Threshold uncertainty score0.473

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0020.000
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0180.002

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 head0.031
GPT teacher head0.277
Teacher spread0.247 · 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
Published2014
Admission routes1
Has abstractyes

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