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Record W2154198673 · doi:10.18174/121682

Biologically produced sulfur particles and polysulfide ions

2005· dissertation· en· W2154198673 on OpenAlexaboutno aff
Wilfred E. Kleinjan

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldChemical Engineering
TopicOdor and Emission Control Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsPolysulfideSulfurIonChemistryOrganic chemistryPhysical chemistryElectrolyte

Abstract

fetched live from OpenAlex

Chapter 1UV spectrophotometry [24, 25] and voltammetry [26].Both methods cannot distinguish between polysulfide ions of different chain lengths.In this thesis UV spectrophotometry was used for the analysis of polysulfide excess sulfur concentrations.Polysulfide ions are believed to play an important role in biotechnological H 2 S removal processes.First, polysulfide ions are considered to be intermediates in the oxidation of HS -to elemental sulfur, both in the chemical oxidation catalyzed by metal ions and in the biological oxidation by sulfide-oxidizing bacteria [18, 27] (see also section 2.3.3).Furthermore, formation and oxidation of polysulfide ions may affect the rate of H 2 S absorption or the process selectivity for sulfur production.Chapters 3, 4, and 5 of this thesis are particularly concerned with polysulfide chemistry.From pilot plant studies on the removal of H 2 S from pressurized natural gas [28] it was observed that more H 2 S was absorbed in the gas absorber than could be expected Chapter 1 _____________________________________________________________________ 5.

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 score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.015
GPT teacher head0.256
Teacher spread0.241 · 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

Citations7
Published2005
Admission routes1
Has abstractyes

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