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Record W1514550968 · doi:10.2166/wst.2000.0209

Production of biopesticides as a novel method of wastewater sludge utilization/disposal

2000· article· en· W1514550968 on OpenAlexafffund
V. Sachdeva, R.D. Tyagi, José R. Lerma Valero

Bibliographic record

VenueWater Science & Technology · 2000
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInsect Resistance and Genetics
Canadian institutionsInstitut National de la Recherche Scientifique
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsBiopesticideWastewaterBacillus thuringiensisSporePulp and paper industryEnvironmental scienceWaste managementChemistryBiotechnologyBiologyEnvironmental engineeringPesticideAgronomyBotanyBacteria

Abstract

fetched live from OpenAlex

Production of Bacillus thuringiensis (Bt) var. kurstaki HD-1, an industrially produced biopesticide source, was tested as a potential method to valorize wastewater treatment sludge. The effects of sludge solids concentration and inoculum size were verified on the production of Bt. Inoculum sizes of 1% and 5% were tested. The cell and spore counts achieved were comparable to those in the industry standard. Sludge with 1% (v/v) inoculum size gave higher entomotoxicity compared to that of 5% inoculum. It was observed that sludge samples with lower solids concentration gave marginally lower cell and spore count but gave considerably higher toxicity. The production time was also comparable to the industrial standard. Results from these experiments and their economical implications are discussed in this paper.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.001

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.281
Teacher spread0.268 · 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 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

Citations45
Published2000
Admission routes2
Has abstractyes

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