MétaCan
Menu
Back to cohort
Record W2993479863 · doi:10.1139/cjm-2019-0347

Changes in structure and function of bacterial and fungal communities in open composting of Chinese herb residues

2019· article· en· W2993479863 on OpenAlexvenueno aff
Fan Chang, Fengan Jia, Rui Lv, Lisha Zhen, Yan Li, Yan Wang

Bibliographic record

VenueCanadian Journal of Microbiology · 2019
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicComposting and Vermicomposting Techniques
Canadian institutionsnot available
FundersNational Key Research and Development Program of China
KeywordsBasidiomycotaAscomycotaBiologyProteobacteriaTrophic levelMicrobial population biologyBotanyFood scienceDecomposerCommunity structureBacteriaEcology16S ribosomal RNAEcosystemBiochemistryGene

Abstract

fetched live from OpenAlex

In this study, dynamic changes in bacterial and fungal communities, metabolic characteristics, and trophic modes in Chinese herb residues open composting for 30 days were analyzed by using high-throughput sequencing, PICRUSt, and FUNGuild, respectively. Bacillaceae and Basidiomycota predominated at the early composting stage, while Proteobacteria and Ascomycota became the dominant phyla during the active phase. Aerobic composting had a significant effect on bacterial metabolic characteristics and fungal trophic modes over the composting time. The function of the bacterial communities changed from environmental information processing to metabolism. Fungal communities changed as well, with the pathogenic fungi decreasing and wood saprotrophs increasing. These results indicated that open composting of Chinese herb residues not only influenced microbial community structure but also changed metabolic characteristics and trophic modes, which became the internal dynamics of composting.

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 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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.511
Threshold uncertainty score0.981

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 head0.017
GPT teacher head0.220
Teacher spread0.203 · 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 teacher head, 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

Citations16
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueCanadian Journal of MicrobiologySame topicComposting and Vermicomposting TechniquesFrench-language works237,207