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Record W2558857923 · doi:10.4043/27377-ms

Geohazards in Deepwater Sectors Offshore Newfoundland and Labrador Available for Parcel Nomination in 2016-2019

2016· article· en· W2558857923 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueArctic Technology Conference · 2016
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological formations and processes
Canadian institutionsMemorial University of NewfoundlandGeological Survey of Canada
Fundersnot available
KeywordsGeologyGeohazardSubmarine pipelineBathymetryOceanographyStructural basinGeomorphologyLandslide

Abstract

fetched live from OpenAlex

Abstract Several deep-water sectors offshore Newfoundland and Labrador are available for parcel nomination in the next few years. This paper summarizes the current availability of geohazard information from Geological Survey of Canada (GSC) data holdings, Open Files and published papers. It presents background geological information on controls on geohazards, and summarizes the significance of existing published geological and geotechnical data. It focuses on sectors NL01-LS, NL02-LS (southern Labrador Slope), NL02-EN (northern Orphan Basin), and NL01-SEN (Carson and Salar basins), with brief mention of NL-01-SN. It is based on field surveys by the GSC in the past decade, including multibeam bathymetry, high-resolution seismic, and piston cores. The information is applicable to E&P companies considering nominating parcels or submitting bids for leases and to the regulator as a guide to geohazards and sea-floor constraints to exploration and production.

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.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.071
Threshold uncertainty score1.000

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)0.0010.000

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 head0.014
GPT teacher head0.210
Teacher spread0.196 · 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