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Record W2491776967

The international project on CO2 ocean sequestration. A summary of the experiment permitting process in Norway, 2002

2002· article· en· W2491776967 on OpenAlexaboutno aff
L. Golmen

Bibliographic record

VenueDuo Research Archive (University of Oslo) · 2002
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicOcean Acidification Effects and Responses
Canadian institutionsnot available
FundersPacific International Center for High Technology Research
KeywordsProcess (computing)Carbon sequestrationEnvironmental scienceBusinessComputer scienceCarbon dioxide
DOInot available

Abstract

fetched live from OpenAlex

Norway has been a member of the international research team on CO2 ocean sequestration since 1997, along with Japan, USA and Canada. Following a decision in the project's Steering Committee in 2001 an application for a permit to conduct an experiment with injection of CO2 offshore Norway was sent to the Norwegian State Pollution Control Authority (SFT) in January 2002, and a permit was given by SFT shortly thereafter. In May, 2002, a representative from the socialist party in the Norwegian Storting (Parliament) raised a question about the background and legality of the permit to the Minister of Environment. A suspension of the permit with new treatment and hearing round followed. After this, SFT still upheld it's original decision and reissued the permit in July, 2002. However, protests and pressure from some environmental groups led to the final decision by the Minister of Environment on 22 August 2002 to deny a permit. The decision by the Ministry implied a demobilisation of the project, and caused a lot of concern and disturbance among the project group and all it's contracted logistics suppliers etc. This report gives a summary of the events and arguments through 2002 that may have led to the Minister's final decision, and also some review of what happened afterwards. No objective evaluation or interpretation of the permitting process and the decision was attempted.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.198
Threshold uncertainty score0.622

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.047
GPT teacher head0.279
Teacher spread0.232 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2002
Admission routes1
Has abstractyes

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Same venueDuo Research Archive (University of Oslo)Same topicOcean Acidification Effects and ResponsesFrench-language works237,207