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Record W7022210300

Foreword

2014· article· en· W7022210300 on OpenAlexaboutno aff

Bibliographic record

VenueeYLS (Yale Law School) · 2014
Typearticle
Languageen
FieldPhysics and Astronomy
TopicPulsars and Gravitational Waves Research
Canadian institutionsnot available
Fundersnot available
KeywordsScope (computer science)Government (linguistics)Maturity (psychological)Resource (disambiguation)Relevance (law)Energy sectorMiddle EastEast coast
DOInot available

Abstract

fetched live from OpenAlex

This special edition of the Dalhousie Law Journal includes selected papers from the 4th East Coast Seminar of the Canadian Energy Law Foundation. The scope and depth ofthe articles which follow demonstrate the growing maturity ofthe East Coast Energy sector, both inthe refinement and further definition of the offshore exploration and exploitation regimes that were the focus ofthe 1st East Coast Seminar in 2000, and the increasing relevance of government and industry interest in land-based hydrocarbons as well as alternative energy sources such as wind and tidal power. This collection reflects the importance of these developments, and also extends to developments (and potential future developments) in the international regime for the exploration of the continental shelf. It is hoped that it will provide a useful resource for practitioners, industry and government as the sector continues to grow in this region.

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)0.005
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: Editorial · Consensus signal: none
Teacher disagreement score0.435
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.002
Science and technology studies0.0040.001
Scholarly communication0.0070.003
Open science0.0010.002
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.4350.269

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 head0.012
GPT teacher head0.297
Teacher spread0.286 · 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
GenreEditorial

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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