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Record W2981719742 · doi:10.4095/295113

Quaternary unconsolidated sediment thickness on the Grand Banks of Newfoundland and northeast Newfoundland Shelf; a GIS database

2014· report· en· W2981719742 on OpenAlexaffabout
E.L. King

Bibliographic record

Venuenot available
Typereport
Languageen
FieldEarth and Planetary Sciences
TopicGeology and Paleoclimatology Research
Canadian institutionsNatural Resources Canada
Fundersnot available
KeywordsQuaternaryGeologyOceanographySedimentContinental shelfDatabasePaleontology

Abstract

fetched live from OpenAlex

The thickness of Quaternary unconsolidated sediments (overburden) across the Grand Banks of Newfoundland and the Northeast Newfoundland shelf has been compiled and incorporated into a GIS-based geodatabase. It is derived from interpretation of a vast grid of high and mid-resolution seismic reflection profiles collected over about 40 years by the Geological Survey of Canada-Atlantic. This spatial database is in the form of spot thicknesses along survey tracks and thickness-classed zonation interpolated from these points. It comprises over 85 000 point thickness entries, each identifying the stratigraphic unit (or range in units) measured, a code linking to the raw data source, thickness in metres and milliseconds, notes on the source of interpretation and the process and positional accuracy, and generally the stratigraphic unit underlying the sediment at that position. Most records document only the total Quaternary thickness. A total Quaternary thickness zonation map (polygons/contours in six thickness classes) adds considerable interpretive value to the spot thickness measurements. Control for extrapolation and interpolation of the spot thicknesses came from bathymetric shaded relief images (mainly low resolution) where, for example, basins, valleys and ridges, near-seabed bedrock expression and other morphological elements helped provide spatial control for sediment thickness distribution. Till from the last glaciation is dominant volumetrically and locally stacked tills, presumably from older glaciations/statials are also identified. However the thickness database also includes a differentiation of eight separate sediment facies or stratigraphic units. These records are only compiled from select datasets where the appropriate raw data (generally ultra-high resolution profiles) were in a suitable format. This product complements other new map products from the area, both bedrock and surficial geological and a surface and sub-surface geo-features geodatabase.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.083
Threshold uncertainty score0.166

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0070.010
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0140.003

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 head0.039
GPT teacher head0.276
Teacher spread0.237 · 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 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

Citations3
Published2014
Admission routes2
Has abstractyes

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