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Record W2916107977

Calibrating micropaleontology with sedimentology and ichnology for enhanced paleoenvironmental interpretations in the Bluesky Formation of Alberta, Canada

2018· article· en· W2916107977 on OpenAlexaffvenueabout
S. Gordon Campbell, Graham Dolby, D H McNeil, Murray K. Gingras

Bibliographic record

VenueBulletin of Canadian Petroleum Geology · 2018
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological formations and processes
Canadian institutionsNatural Resources CanadaUniversity of Alberta
Fundersnot available
KeywordsGeologyForaminiferaMicropaleontologyPalynologyPaleontologyIchnologyDinocystSedimentologySubfossilFaciesBrackish waterAcritarchOceanographyPollenSalinityHoloceneEcologyTrace fossilBenthic zoneStructural basin
DOInot available

Abstract

fetched live from OpenAlex

Abstract Research on the Bluesky Formation in Alberta’s Peace River oil sands deposit has focused on the sedimentology, ichnology and stratigraphy of the unit, but the micropaleontology of the Bluesky is not well documented in the literature. This study contributes to this under-reported dataset and underscores the value of calibrating sedimentological and ichnological observations with preserved palynological and microfossil assemblages. Cores containing the Bluesky Formation and related strata of the underlying Gething Formation and the overlying Wilrich Member were systematically logged and sampled for their micropaleontological content. The various datasets were then integrated to provide enhanced paleoenvironmental interpretations. At the base of the strata, the upper Gething Formation sediments are characterized by an abundance of plant spores and pollen, the freshwater dinocyst Hurlandsia rugara, faintly brackish-water Nyktericysta spp. dinocysts, and the low-salinity tolerant foraminifera Miliammina spp. These assemblages are interpreted to reflect deposition in lowland swamps, marshes, and brackish bays. The overlying Bluesky Formation palynofloral assemblage reflects encroachment of the transgressing Boreal Sea and contains a unique suite of marginal-marine dinocysts dominated by Circulodinium brevispinosum, Odontochitina operculata, Oligosphaeridium spp. and Palaeoperidinium cretaceum. Accessory taxa, foraminifera, and microfossils indicate varying degrees of salinity stresses in deltaic, shoreface, and bay sub-environments. The palynological and microfossil assemblages associated with the Wilrich Member are markedly different than strata below and point to increasing marine influences. Dinocysts Circulodinium deflandrei and Kiokansium unituberculatum are associated with shallow-water, near-shore conditions, and the presence of agglutinated and calcareous foraminifera indicate meso- to polyhaline marine salinities. These assemblages suggest that overall marine salinity levels of the encroaching Boreal Sea may have been lower than normal (i.e. sub-euhaline) in the Western Canada Sedimentary Basin at that time. These micropaleontological datasets help establish criteria to distinguish important stratigraphic boundaries between Gething, Bluesky, and Wilrich sediments. The palynological framework is also useful for drawing comparison to other coeval deposits, namely the McMurray and Clearwater formations of eastern Alberta’s Athabasca oil sands. Furthermore, the abundance of the dinocyst Pseudoceratium pelliferum in the Bluesky palynofloral suite constrains the chronostratigraphic age of that formation to no younger than early Aptian, a significantly older age than previously reported.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.027
Threshold uncertainty score0.069

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0010.001
Scholarly communication0.0020.000
Open science0.0010.001
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 head0.005
GPT teacher head0.168
Teacher spread0.163 · 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

Citations2
Published2018
Admission routes3
Has abstractyes

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