MétaCan
Menu
Back to cohort
Record W2118459295

PCR-based sensitive detection of the edible fungus Boletus edulis from rDNA ITS sequences

2008· article· en· W2118459295 on OpenAlex
Bin Lian, Jinping Zang, Weiguo Hou, Sheng Yuan, Donald L. Smith

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

VenueScientific Electronic Library Online (Scientific Electronic Library Online) · 2008
Typearticle
Languageen
FieldMedicine
TopicFungal Biology and Applications
Canadian institutionsMcGill University
Fundersnot available
KeywordsBiologyFungusBoletusBotanyMushroom
DOInot available

Abstract

fetched live from OpenAlex

Identification of commercially important fungi, such as the valuable edible fungus Boletus edulis can be difficult considering visual or metabolic approaches. Based on phylogenetic analysis of the rDNA ITS sequence, a pair of specific primers was designed for differentiating B. edulis from other mushrooms by PCR. PCR was performed with total DNA as a template at an annealing temperature between 56-60ºC. Positive amplicons were obtained from B. edulis with all DNA templates from fruit bodies and cultured mycelium, but not from other fungal species at an annealing temperature of 60ºC. The result indicated that B. edulis could be clearly distinguished from other fungi by PCR, and there were no misidentifications under the reaction conditions used. The primers were also successfully employed to identify various tissues of B. edulis.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.091
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.005
Science and technology studies0.0020.003
Scholarly communication0.0000.002
Open science0.0020.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.015
GPT teacher head0.231
Teacher spread0.216 · 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