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Record W2559011942 · doi:10.1144/m46.84

Crag-and-tail features, Amundsen Gulf, Canadian Arctic Archipelago

2016· article· en· W2559011942 on OpenAlexaffabout
B C MacLean, S. Blasco, R Bennett, John E. Clark, E Patton

Bibliographic record

VenueGeological Society London Memoirs · 2016
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicCryospheric studies and observations
Canadian institutionsUniversity of New BrunswickGeological Survey of CanadaNatural Resources Canada
Fundersnot available
KeywordsOceanographyGeologyArchipelagoIcebergArcticIce sheetSeabed gouging by iceIce streamSea iceArctic ice packIce shelfGlacial periodAntarctic sea iceSeabedPhysical geographyCryosphereGeomorphologyGeography

Abstract

fetched live from OpenAlex

Palaeo-ice streams existed in many marine channels of the Canadian Arctic Archipelago (e.g. Clark & Stokes 2001; Stokes et al. 2006; MacLean et al. 2010, 2015). These include Amundsen Gulf at the southwestern end of the Northwest Passage, where multibeam imagery has revealed a variety of subglacial features (Stokes et al. 2006; MacLean et al. 2012, 2015) (Fig. 1a, b). Six or more stacked ice-contact deposits in NW Amundsen Gulf indicate successive advances of a grounded ice stream from a pinning point on the rocky shallow seabed south of Banks Island. Stokes et al. (2006) also considered this to be a pinning point for the ice stream. Further evidence of the dynamic nature of glacial events in Amundsen Gulf is provided by Batchelor et al. (2014), who recognized sediment sequences deposited by eight individual Amundsen Gulf ice streams or readvances of the same ice stream in the outer gulf and on the Beaufort Shelf. Fig. 1. Multibeam sonar imagery and profile of crag-and-tail features formed subglacially in the lee of bedrock outcrops in northwestern Amundsen Gulf, Canadian Arctic Archipelago. ( a ) Location of study area (red box; map from IBCAO v. 3.0). …

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score0.169

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.008
Science and technology studies0.0040.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0080.001

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 head0.016
GPT teacher head0.201
Teacher spread0.185 · 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 designObservational
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

Citations5
Published2016
Admission routes2
Has abstractyes

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