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Record W2038384739 · doi:10.3997/2214-4609.20141357

Integrated Assessment of Risks Associated with Exploration Offshore Eastern Canada

2014· article· en· W2038384739 on OpenAlexaboutno aff
Grant Wach, Ricardo Silva, C.H. Dickson, Leslie Eliuk, Natasha Morrison, Neil Plummer, Cecilia Wong, Darragh E. O’Connor, T. Campbell, T. Adam Kelly, Yawooz A. Kettanah

Bibliographic record

VenueProceedings · 2014
Typearticle
Languageen
FieldEngineering
TopicHydrocarbon exploration and reservoir analysis
Canadian institutionsnot available
Fundersnot available
KeywordsSubmarine pipelineGeologyOutcropNova scotiaPetroleumStructural basinSedimentary rockOceanographyMining engineeringPaleontology

Abstract

fetched live from OpenAlex

Summary Research in the Basin and Reservoir Lab of the Dalhousie University focus on petroleum system and risk elements analysis on the Nova Scotia, Newfoundland, and Labrador shelves and deepwater offshore. Research includes the observation and geochemical study of selected cores to improve source rock understanding, reservoir outcrop analogs, overpressure and integration of these data with time-equivalent sedimentary series in eastern Canada and associated conjugate margins (Morocco, Portugal, Spain, UK and Ireland). The extensive source rocks and reservoir analogs cropping out on the Western European and African conjugate margins suggest that exploration for hydrocarbons can test alternative (and new) play concepts, improving chances of success.

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)0.000
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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.658
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

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

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 head0.024
GPT teacher head0.244
Teacher spread0.219 · 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 designSimulation or modeling
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

Citations0
Published2014
Admission routes1
Has abstractyes

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