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Record W4390345498 · doi:10.5530/ijpi.14.1.4

Degradation of Antibiotics by Ultrasound-Assisted Heterogeneous Activation of Persulfate and Peroxymonosulfate: A Review

2023· review· en· W4390345498 on OpenAlexaboutno aff
Sepideh Kianian, Rozhin Moloudpour Toulakani, Fatemeh Zisti, Davoud Balarak, Shaziya Siddiqui, Morteza Khodadadi Saloot

Bibliographic record

VenueInternational Journal of Pharmaceutical Investigation · 2023
Typereview
Languageen
FieldEnvironmental Science
TopicAdvanced oxidation water treatment
Canadian institutionsnot available
FundersZahedan University of Medical Sciences
KeywordsPersulfateDegradation (telecommunications)AntibioticsChemistryLibrary scienceEnvironmental chemistryBiochemistryComputer scienceCatalysisTelecommunications

Abstract

fetched live from OpenAlex

Sepideh Kianian1, Rozhin Moloudpour Toulakani2, Fatemeh Zisti3, Davoud Balarak4, Shaziya Haseeb Siddiqui5 and Morteza Khodadadi Saloot6 Author informationPDFCitations 1Department of Biochemistry and Molecular Biology, Michigan State University, Michigan, UNITED STATES OF AMERICA 2Department of Microbiology, Azad University of Urmia, Urmia, IRAN 3Department of Chemistry, University of Brock, St.Chatarines, Ontario, CANADA 4Department of Environmental Health Engineering,

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.100
GPT teacher head0.395
Teacher spread0.294 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations4
Published2023
Admission routes1
Has abstractyes

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