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Record W4402984461 · doi:10.1039/d4ew00506f

Control of biofilms with UV light: a critical review of methodologies, research gaps, and future directions

2024· review· en· W4402984461 on OpenAlex
Stephanie Gora, Ben Ma, Mariana Lanzarini-Lopes, Hamed Torkzadeh, Zhe Zhao, Paul Westerhoff, Karl G. Linden, Benoît Barbeau, Rich Simons, Graham A. Gagnon, Patrick Di Falco

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEnvironmental Science Water Research & Technology · 2024
Typereview
Languageen
FieldChemical Engineering
TopicOdor and Emission Control Technologies
Canadian institutionsDalhousie UniversityPolytechnique MontréalYork University
Fundersnot available
KeywordsBiofilmBiochemical engineeringComputer scienceEnvironmental scienceEngineeringBiologyBacteria

Abstract

fetched live from OpenAlex

The use of UV light to prevent or mitigate the development of biofilms is an area of emerging research that spans numerous industries.

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.

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)0.006
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.932
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0020.003
Science and technology studies0.0000.010
Scholarly communication0.0000.000
Open science0.0020.002
Research integrity0.0010.003
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 head0.110
GPT teacher head0.432
Teacher spread0.322 · 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