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Record W1504810749

Clasificación taxonómica de la cepa de hongo micorrizógeno arbuscular INCAM-2 como Funneliformis mosseae, syn. Glomus mosseae

2014· article· es· W1504810749 on OpenAlexaff
Yakelín Rodríguez, Yolande Dalpé, Sylvie Séguin

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2014
Typearticle
Languagees
FieldMedicine
TopicFungal Biology and Applications
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsGlomusBiologyBotanySpore
DOInot available

Abstract

fetched live from OpenAlex

Dentro de la colección de cepas de hongos micorrizógenos arbusculares (HMA) del INCA se destaca por su importancia económica y ecológica la cepa INCAM-2, al constituir la base de biopreparados que se aplican en diversos sistemas agrícolas y se comercializan ampliamente a nivel mundial. El objetivo de este trabajo fue confirmar la clasificación taxonómica preliminar realizada de dicha cepa, mediante taxonomía polifásica. Para ello se analizaron con mayor profundidad las características morfológicas de las esporas y se utilizaron otros protocolos moleculares (ITS del ADN ribosomal y V-H+-ATPasa). Los resultados demostraron que la cepa INCAM-2 es Funneliformis mosseae, syn. Glomus mosseae. Las esporas se distinguen por su gran tamaño, su coloración de amarillo oscuro a ámbar, la pared consta de tres capas (C1 hialina mucilaginosa, C2 hialina y C3 laminada), donde C1 se tiñe de rojizo con la solución de Melzer, la unión de la hifa de sostenimiento a la espora es en forma de embudo, presenta un septo curvo y el poro está ocluido. El análisis filogenético de las secuencias obtenidas de ambos genes reveló que presentan un 98 % de homología con varios ecotipos de la misma especie registrados en las bases de datos del Centro Nacional de Información Biotecnológica de los Estados Unidos (NCBI).

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: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

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

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 head0.125
GPT teacher head0.531
Teacher spread0.406 · 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

Citations3
Published2014
Admission routes1
Has abstractyes

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