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Record W4211185769 · doi:10.1128/9781555819583.ch21

Stress Adaptation

2017· book-chapter· en· W4211185769 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueASM Press eBooks · 2017
Typebook-chapter
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicFungal and yeast genetics research
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsBiologyEcological nicheAdaptation (eye)EcologyNicheHost (biology)ZoologyHabitat

Abstract

fetched live from OpenAlex

Planet Earth plays host to an extravagantly diverse range of fungal species. Recent estimates suggest the probable existence of as many as 3 million fungal species (1), and the circa 75,000 of these that have been characterized to date display a wide range of lifestyles. Many fungi occupy specific niches within natural environments, playing essential roles in nutrient scavenging and recycling. Some thrive in close harmony with species from other kingdoms, a superb example being the mycorrhizal fungi, which display mutualistic interactions with plants. Other fungi are pathogenic, causing devastating infections of plants or animals. Indeed, the global threats that fungi pose to human health and food security are being increasingly recognized (2). Fortunately, a relatively small number of fungal species cause infections in humans (circa 400 species are described in the Atlas of Clinical Fungi [3]). Some of these fungi normally occupy environmental niches but are capable of colonizing and damaging human (or animal) tissues, whereas other fungi appear to be obligately associated with their host.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.838
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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

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 head0.287
Teacher spread0.234 · 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