MétaCan
Menu
Back to cohort
Record W2903475076 · doi:10.1002/ppap.201800137

Cold plasma oxidation of harmful algae and associated metabolite BMAA toxin in aqueous suspension

2018· article· en· W2903475076 on OpenAlex

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenuePlasma Processes and Polymers · 2018
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine Toxins and Detection Methods
Canadian institutionsPolytechnique Montréal
FundersNatural Sciences and Engineering Research Council of CanadaWater Research Foundation
KeywordsToxinAqueous solutionAlgaeCyanobacteriaChemistryOxygenEnvironmental chemistryAlgal bloomSuspension (topology)Reactive oxygen speciesPlasmaBotanyBiologyOrganic chemistryBiochemistryNutrient

Abstract

fetched live from OpenAlex

We report experiments in which reactive oxygen species (ROS) from a 20 kHz HV discharge in Ar/O 2 (90/10) gas mixture at atmospheric pressure were directly bubbled into highly concentrated aqueous suspensions of cyanobacteria Dolichospermum , green algae Scenedesmus and BMAA toxin, simulating extreme algal blooms. It has been found that even quite short treatment durations, up to 6 min, could greatly reduce the numbers of viable cells and completely destroy the BMAA toxin. Perhaps even more important, “plasma‐activated water” (PAW) was found to continue its effectiveness after 24 h, even 4 days after terminating the discharge.

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)0.000
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.368
Threshold uncertainty score0.632

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.011
GPT teacher head0.246
Teacher spread0.235 · 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