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Record W4235795328 · doi:10.1016/s1631-0713(04)00104-x

Natural gas hydrates: myths, facts and issues

2004· article· en· W4235795328 on OpenAlexaff
B. Beauchamp

Bibliographic record

VenueComptes Rendus Géoscience · 2004
Typearticle
Languageen
FieldEnvironmental Science
TopicMethane Hydrates and Related Phenomena
Canadian institutionsGeological Survey of Canada
Fundersnot available
KeywordsMethaneClathrate hydrateNatural gasEnvironmental scienceChemistryEcologyBiologyHydrate

Abstract

fetched live from OpenAlex

Gas hydrates are solid-like substances naturally occurring beneath the oceans and in polar regions. They contain vast, and potentially unstable, reserves of methane and other natural gases. Many believe that, if released in the environment, the methane from hydrates would be a considerable hazard to marine ecosystems, coastal populations and infrastructures, or worse, that it would dangerously contribute to global warming. On the other hand, hydrates may contain enough natural gas to provide an energy supply assurance for the 21st century. This paper attempts to separate the myths, the facts and the issues that relate to natural gas hydrates beyond the doomsday environmental scenarios and overly optimistic estimates. To cite this article: B. Beauchamp, C. R. Geoscience 336 (2004). Les hydrates de gaz, substances solides qui ressemblent à la glace, existent de façon naturelle sous les océans et dans les régions polaires. Les hydrates contiennent de grandes réserves de méthane, et autres gaz naturels, qui sont potentiellement instables. D'aucuns croient que le méthane des hydrates offrirait un risque considérable pour les écosystèmes marins, les populations côtières et les infrastructures humaines s'il était relâché dans l'environnement, ou pire encore, qu'il contribuerait dangereusement au réchauffement global. Par contre, les hydrates pourraient contenir assez de gaz naturel pour constituer une source énergétique fiable au XXIème siècle. Cet article s'efforce de séparer, au-delà des scénarios environnementaux alarmistes et des évaluations trop optimistes du volume des ressources énergétiques, les mythes, la réalité et les enjeux gravitant autour des hydrates de gaz naturels. Pour citer cet article : B. Beauchamp, C. R. Geoscience 336 (2004).

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)0.007
metaresearch head score (Gemma)0.009
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: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.007
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.032
Scholarly communication0.0060.020
Open science0.0020.004
Research integrity0.0060.012
Insufficient payload (model declined to judge)0.0030.001

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 head0.011
GPT teacher head0.235
Teacher spread0.224 · 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
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

Citations5
Published2004
Admission routes1
Has abstractyes

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