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Record W3184297851 · doi:10.1079/dfb/20203309875

<i>Diderma fallax</i> . [Descriptions of Fungi and Bacteria].

2020· article· en· W3184297851 on OpenAlexaboutno aff
Tetiana Kryvomaz, A. Michaud, D. W. Minter

Bibliographic record

VenueDescriptions of Fungi and Bacteria · 2020
Typearticle
Languageen
FieldEngineering
TopicSlime Mold and Myxomycetes Research
Canadian institutionsnot available
Fundersnot available
KeywordsBiological dispersalGeographyHabitatSubspeciesVaccinium myrtillusBiologyEcologyBotanyForestryArchaeologyPopulation

Abstract

fetched live from OpenAlex

Abstract A description is provided for Diderma fallax , a myxomycete commonly observed on dead branches and/or twigs in the litter of Apiaceae, Cytisus sp., Gramineae [Poaceae], Prunus spinosa and Vaccinium myrtillus . Some information on its interactions and habitats, economic impacts, infraspecific variation, dispersal and transmission, and conservation status is given, along with details of its geographical distribution (Morocco, Canada (British Columbia), USA (California, Colorado, Kansas, Montana, New Mexico, Oregon, Utah, Washington, Wyoming), Chile, Philippines, Russia (Khanty-Mansi Autonomous Okrug), Austria, France, Germany, Italy, Romania, Russia (Karachay-Cherkess Republic, Tver Oblast), Spain, Sweden, Switzerland, and UK).

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.026
Threshold uncertainty score0.087

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 integrity0.0010.001
Insufficient payload (model declined to judge)0.0260.016

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 head0.025
GPT teacher head0.215
Teacher spread0.190 · 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
Published2020
Admission routes1
Has abstractyes

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