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Record W3153120928 · doi:10.11159/ijepr.2021.001

Inoculation Of Soil With Cadmium-Resistant Actinomycetes Flora Reduces Cadmium Accumulation In Rice (Oryza Sativa L.)

2021· article· en· W3153120928 on OpenAlexvenueno aff
Shengping Xue, Xiaohuan Wang

Bibliographic record

VenueInternational Journal of Environmental Pollution and Remediation · 2021
Typearticle
Languageen
FieldEnvironmental Science
TopicHeavy metals in environment
Canadian institutionsnot available
FundersHebei University
KeywordsOryza sativaCadmiumInoculationAgronomyFlora (microbiology)Rice plantBiologyBotanyHorticultureChemistryBacteria

Abstract

fetched live from OpenAlex

The microorganism and other amendments were immobilized in pellet carrier as microbial reverse screening model and were applied to the simulated Cd contaminated soil. Microbial flora (Streptomycete XW8, Actinomycetes XW3, ActinomycetesXW5) reduces Cd accumulation in rice when combined with biochar, humic acid and Carbon silicon functional liquid fertilizer. Microbial flora (Bacteria XW6, Actinomycetes XW3, Actinomycetes XW5) has highest TF and raises the bioavailability of Cd in soil. But Bacteria XW6 activate Cd in soil, which is a premium candidate for application in phytoremediation Cd farmland contamination. The compatibility of microbial flora had a significant effect in Cd reduction.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.748
Threshold uncertainty score0.548

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 communication0.0000.001
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 head0.013
GPT teacher head0.256
Teacher spread0.243 · 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 designBench or experimental
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

Citations1
Published2021
Admission routes1
Has abstractyes

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