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Record W3185758665 · doi:10.1079/dfb/20193504674

<i>Saccobolus truncatus</i> . [Descriptions of Fungi and Bacteria].

2019· article· en· W3185758665 on OpenAlexaboutno aff
D. W. Minter, P. F. Cannon

Bibliographic record

VenueDescriptions of Fungi and Bacteria · 2019
Typearticle
Languageen
FieldMedicine
TopicFungal Biology and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsGeographyChinaEnvironmental protectionForestryArchaeology

Abstract

fetched live from OpenAlex

Abstract A description is provided for Saccobolus truncatus . Almost all records of this species are on dung of herbivorous mammals, but the type material was stated to be on raven droppings, and there are also records on mushroom compost and a mushroom-growing bed and pig dung. Some information on its habitat, dispersal and transmission, and conservation status is given, along with details of its geographical distribution (Africa (Kenya, Morocco), North America (Canada (Manitoba, Ontario), USA (Colorado, Florida, New York, Virginia)), South America (Argentina, Brazil (Mato Grosso do Sul, Pernambuco), Chile, Peru), Asia (Armenia, China (Beijing, Yunnan), India (Himachal Pradesh, Uttarakhand), Israel, Japan, Nepal, Pakistan, Taiwan, Tajikistan, Thailand), Atlantic Ocean (Spain (Canary Islands)), Caribbean (Dominica, Guadeloupe, Puerto Rico, Saba (Caribbean Netherlands), St Lucia), Europe (Austria, Belgium, Bulgaria, Czech Republic, Denmark, Estonia, France, Italy, Germany, Moldova, Netherlands, Poland, Russia (Kursk Oblast, Leningrad Oblast, Republic of Mordovia), Ukraine, UK)). The present species has been included in studies of wheat straw lignin and cellulose modification by fungal colonists of herbivore dung, to explore the possibility that their anticipated ability to decompose lignocellulosic residues could be used to upgrade the nutritional value of animal feed.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.008
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.002
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0080.009

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 head0.012
GPT teacher head0.231
Teacher spread0.219 · 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
GenreOther

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
Published2019
Admission routes1
Has abstractyes

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