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Record W2491612826 · doi:10.1007/978-1-61779-539-8

Host-Fungus Interactions

2012· book· en· W2491612826 on OpenAlexfundno aff
Alexandra Brand, Donna M. MacCallum

Bibliographic record

VenueMethods in molecular biology · 2012
Typebook
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPlant Pathogens and Fungal Diseases
Canadian institutionsnot available
FundersLeibniz-Institut für Naturstoff-Forschung und Infektionsbiologie – Hans-Knöll-InstitutCenter for Sepsis Control and CareDirectorate for Biological SciencesUniversidade de São PauloYonsei UniversityLeibniz-GemeinschaftUniversity of ManchesterRadboud UniversiteitUniversity of AberdeenUniversidade Federal de GoiásKing's College LondonImperial College LondonNational University of IrelandMcGill UniversityUniversidade do MinhoInstitut National de la Recherche AgronomiqueCarnegie Mellon UniversityUniversitätsklinikum JenaUniversity of CincinnatiMassachusetts General Hospital
KeywordsFungusHost (biology)BiologyBotanyEcology

Abstract

fetched live from OpenAlex

Microbiologists, medical mycologists, immunologists, and biochemists are increasingly working together to focus on the processes involved in the progression and treatment of fungal disease. Host-Fungu

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: Other
Teacher disagreement score0.029
Threshold uncertainty score0.097

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0290.036

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 head0.022
GPT teacher head0.369
Teacher spread0.347 · 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

Citations20
Published2012
Admission routes1
Has abstractyes

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