MétaCan
Menu
Back to cohort
Record W4391516876 · doi:10.53555/sfs.v10i1s.2166

Cadmium (Cd) Resistant Bacteria

2023· article· en· W4391516876 on OpenAlexvenueno aff
Ayan Ghorui, Subhajit Pal, Shovana Pal, Keshab Ghosh, Uparna Dutta, Bipasa Dey sutradhar, Deeti Das, Pritha Pal, Aritri Laha

Bibliographic record

VenueJournal of Survey in Fisheries Sciences · 2023
Typearticle
Languageen
FieldEnvironmental Science
TopicChromium effects and bioremediation
Canadian institutionsnot available
FundersIndian Council of Agricultural Research
KeywordsCadmiumBacteriaMicrobiologyChemistryBiologyGenetics

Abstract

fetched live from OpenAlex

Anthropogenic sources of toxic cadmium (Cd) have significantly risen during the past few decades. Currently several physical and chemical techniques are used in the Cd decontamination methods. But these techniques are expensive and even causes secondary pollution. Therefore, it is crucial to investigate eco-friendly, effective, and affordable strategies that can eliminate the Cd threat from the environment. The biological methods are far suitable than other methods in recent years. A bunch of bacteria (Bacillus cereus, Aeromonas caviae) are able to tolerate this heavy metal. Cadmium tolarent bacteria (CdtB) are numerous and unrelated phylogenetically. They contain cadA and cadB gene systems which is responsible for their Cd-resistant capacity. The objective of this review is to demonstrate the importance, culturable diversity, metabolic purification mechanisms, and contemporary applications of CdtB bacteria in soil bioremediation processes.

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)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.106
GPT teacher head0.264
Teacher spread0.157 · 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

Citations1
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Survey in Fisheries SciencesSame topicChromium effects and bioremediationFrench-language works237,207