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Record W4210248686 · doi:10.4095/328291

Surficial geology, Lac aux Goélands, Quebec, NTS 23-P southeast

2022· report· en· W4210248686 on OpenAlexaffabout
R C Paulen, J M Rice, Martin Ross

Bibliographic record

Venuenot available
Typereport
Languageen
FieldEarth and Planetary Sciences
TopicGeology and Paleoclimatology Research
Canadian institutionsNatural Resources Canada
Fundersnot available
KeywordsDeglaciationGeologyMeltwaterIce sheetBedrockGeomorphologyLandformIce streamGlacial periodOutcropGlacierPhysical geographyShelf icePaleontologyCryosphereOceanographyGeographySea ice

Abstract

fetched live from OpenAlex

The Lac aux Goélands area is of moderate relief characterized by till blankets in the lowlands and till veneers with large expanses of bedrock outcrops in the western and eastern margins. Bedrock was variably eroded by the Laurentide Ice Sheet, east of the Ancestral Labrador ice divide. Phases of ice flow imparted multiple sets of glacially streamlined landforms and erosional paleo-flow indicators on the landscape. However, the dominant eastward-trending, elongated streamlined landforms were formed by ice streaming during deglaciation. Multiple sets of discordant meltwater channels were formed from both an early phase of deglaciation, which fed into an eastward-trending esker network, and a subsequent late-phase ablation of the ice sheet, with north-south trending channels parallel to the retreating ice margin. Glaciolacustrine strandlines and littoral sediments within the upper George River basin mark the former northeastern extent of inundation of the earliest phase of glacial Lake Naskaupi.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.068
Threshold uncertainty score0.226

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0680.006

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 head0.053
GPT teacher head0.296
Teacher spread0.244 · 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

Citations0
Published2022
Admission routes2
Has abstractyes

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