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Early Diverging Fungi: Diversity and Impact at the Dawn of Terrestrial Life

2017· review· en· W2605472775 on OpenAlexaff
Mary L. Berbee, Timothy Y. James, Christine Strullu‐Derrien

Bibliographic record

VenueAnnual Review of Microbiology · 2017
Typereview
Languageen
FieldAgricultural and Biological Sciences
TopicMycorrhizal Fungi and Plant Interactions
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsDecomposerBiologyMulticellular organismEcologyTerrestrial ecosystemTerrestrial plantEcosystem

Abstract

fetched live from OpenAlex

As decomposers or plant pathogens, fungi deploy invasive growth and powerful carbohydrate active enzymes to reduce multicellular plant tissues to humus and simple sugars. Fungi are perhaps also the most important mutualistic symbionts in modern ecosystems, transporting poorly soluble mineral nutrients to plants and thus enhancing the growth of vegetation. However, at their origin over a billion years ago, fungi, like plants and animals, were unicellular marine microbes. Like the other multicellular kingdoms, Fungi evolved increased size, complexity, and metabolic functioning. Interactions of fungi with plants changed terrestrial ecology and geology and modified the Earth's atmosphere. In this review, we discuss the diversification and ecological roles of the fungi over their first 600 million years, from their origin through their colonization of land, drawing on phylogenomic evidence for their relationships and metabolic capabilities and on molecular dating, fossils, and modeling of Earth's paleoclimate.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.053
GPT teacher head0.311
Teacher spread0.259 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations219
Published2017
Admission routes1
Has abstractyes

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