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Record W3048256666 · doi:10.17816/snv202114

Comparative ecological and physiological characteristics of <i>Penicillium chrysogenum</i> Thom 1910 strains found on the territory of Surgut

2020· article· en· W3048256666 on OpenAlexaboutno aff
Maria Viktorovna Mantrova

Bibliographic record

VenueSamara Journal of Science · 2020
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicMycotoxins in Agriculture and Food
Canadian institutionsnot available
Fundersnot available
KeywordsPenicillium chrysogenumSorbitolLactoseMicrocosmBiologySugarBotanySucroseStarchFood scienceHorticultureEcology

Abstract

fetched live from OpenAlex

The paper deals with ecological and physiological properties of four strains of the species Penicillium chrysogenum Thom 1910, taken on the territory of Surgut from soil, water and the surface of synthetic polymers, depending on the source of carbon nutrition and temperature. The author also considers phytotoxic properties of these strains in relation to several test objects. The cultural and morphological characteristics of the strains are similar to each other in places with sucrose, lactose, mannitol, starch and cellulose, and are variable in places with sorbitol and glycerol. The highest average values of the radial growth rate were recorded in places with alcohols sorbitol and glycerine. General cultural and morphological characteristics are typical for strains when cultivated in the same temperature regime; a low temperature of +5C contributes more to the growth of colonies than a high temperature of +37C, the optimal one is +25C; the obtained data confirm that P. chrysogenum belongs to mesophilic (psychrotolerant) species. All strains are toxic to radish seedlings; variably toxic to wheat seedlings, Canada water weed and duckweed and non-toxic to wheat and radish seeds. The obtained results can be used for studying the ecology of P. chrysogenum strains, as well as for identifying this species.

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 score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

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

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 head0.056
GPT teacher head0.249
Teacher spread0.193 · 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

Citations0
Published2020
Admission routes1
Has abstractyes

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Same venueSamara Journal of ScienceSame topicMycotoxins in Agriculture and FoodFrench-language works237,207