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Record W3020378147 · doi:10.4095/325466

Siliceous microfossils and agglutinated foraminifera from the Upper Cretaceous Smoking Hills and Mason River formations in the Smoking Hills area, Northwest Territories

2020· report· en· W3020378147 on OpenAlexaffabout
Juan F. Diaz, Jennifer M. Galloway, Manuel Bringué, Per Kent Pedersen, Stephen E. Grasby

Bibliographic record

Venuenot available
Typereport
Languageen
FieldEarth and Planetary Sciences
TopicGeological Studies and Exploration
Canadian institutionsNatural Resources Canada
Fundersnot available
KeywordsForaminiferaGeologyCretaceousPaleontologyArchaeologyOceanographyGeographyBenthic zone

Abstract

fetched live from OpenAlex

Five microfossil groups are herein described from the Upper Cretaceous Smoking Hills and Mason River formations in the Horton River area (Northwest Territories). Microfossil assemblages from the Smoking Hills Formation are dominated by radiolarians and foraminifera whereas the Mason River Formation mainly contains diatoms, silicoflagellates, and sponge spicules. These microfossil groups have been reported before in these units and age-equivalent strata from the Canadian Arctic except for radiolarians. The radiolarian assemblage described in this study represents one of the most diverse and abundant assemblages reported in Campanian-Maastrichtian rocks in North America and can be used to reconstruct the climatic, paleoceanographic, and paleobiogeographic conditions that took place at the end of the Cretaceous Period. This Open File documents the stratigraphic occurrence of the microfossil types.

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)0.000
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 score0.601
Threshold uncertainty score0.794

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.001

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 head0.032
GPT teacher head0.226
Teacher spread0.194 · 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
Published2020
Admission routes2
Has abstractyes

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