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Record W6941185175 · doi:10.11575/prism/27250

Paleoecologic Controls on Early Triassic Refugia Distribution

2017· other· en· W6941185175 on OpenAlexfundno aff

Bibliographic record

VenuePRISM (University of Calgary) · 2017
Typeother
Languageen
FieldAgricultural and Biological Sciences
TopicMycorrhizal Fungi and Plant Interactions
Canadian institutionsnot available
FundersJapan Society for the Promotion of ScienceNatural Sciences and Engineering Research Council of CanadaMitacs
KeywordsExtinction (optical mineralogy)Extinction eventEcosystemSeamountMarine ecosystemPeriod (music)Sea surface temperature

Abstract

fetched live from OpenAlex

The end-Permian extinction (~252 ma) was the largest extinction event to have occurred during the Phanerozoic, resulting in the elimination of up to 78% of marine genera. Recovery from such a catastrophic event did not occur until the Middle Triassic, likely owing to prolonged environmental stress. Many have speculated as to the process with which marine ecosystems recovered following this event. The development of marine refugia, sanctuaries to which organisms migrate during time of environment stress, is one hypothesis. The focus of this thesis is to examine the distribution of marine refugia during the end-Permian extinction. Geochemical and paleoecologic data suggest that mid-depth settings deposited under oxic conditions are conducive to the development of refugia, by offering relief from lethally hot sea surface temperatures. In contrast, geochemical and paleoecologic data collected from two open Panthalassic seamounts suggest that these settings are not conducive to the development of marine refugia, potentially due to decreases in immigration rates owing to the development of a temperature barrier between oceanic islands and the continental margin.

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 score0.019
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.011
GPT teacher head0.190
Teacher spread0.179 · 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
Published2017
Admission routes1
Has abstractyes

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