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Record W2258940075 · doi:10.1385/0-89603-310-4:279

Gene Transfer by Electroporation of Filamentous Fungi

2003· article· en· W2258940075 on OpenAlexaff
M. Kapoor

Bibliographic record

VenueHumana Press eBooks · 2003
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMicrobial Inactivation Methods
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsBiologyHyphaBotany

Abstract

fetched live from OpenAlex

The fungi encompass an enormous array of species, ranging from microscopic uninucleate, unicellular forms to multinucleate, coenocytic, highly differentiated macroscopic morphological forms. The wealth of diversity provided by a wide variety of life cycles, the availability of asexual and sexual modes of reproduction, and the presence of both haploid and diploid phases of the life cycle add further dimensions to this fascinating group of eukaryotic microbes. The tremendous potential of various taxa of filamentous fungi for biotechnological applications has yet to be realized. The filamentous fungi are emerging as a source of suitable hosts for expression of mammalian and other eukaryotic genes to yield products of commercial interest. They are ideally suited to this end by virtue of their normal mode of nutrition, based on the capacity for secretion of degradative enzymes, instrumental in conversion of complex growth substrates into simpler, readily utilizable derivatives that are absorbed by the growing fungal hyphae. Several species of filamentous fungi are known to produce pharmaceuticals, antibiotics, metabolites, phytohormones, and other industrially important products. There is a great deal of interest in the potential for the use of filamentous fungi as biocontrol agents—as antagonists of other fungal phytopathogens, as bioherbicides and bioinsecticides.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.029
GPT teacher head0.280
Teacher spread0.250 · 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 designBench or experimental
Domainnot available
GenreMethods

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

Citations5
Published2003
Admission routes1
Has abstractyes

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