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Record W201040789

Spectrophotometric Characterization of Foams in the Aquatic Environment

2001· article· en· W201040789 on OpenAlexaff
Vlado Zitko

Bibliographic record

VenueSSRN Electronic Journal · 2001
Typearticle
Languageen
FieldEnvironmental Science
TopicWater Quality Monitoring and Analysis
Canadian institutionsFisheries and Oceans Canada
Fundersnot available
KeywordsSulfuric acidUronic acidChemistryHexosePolysaccharideYield (engineering)Fraction (chemistry)Humic acidChromatographyCharacterization (materials science)Composition (language)Organic chemistryMaterials scienceNanotechnology
DOInot available

Abstract

fetched live from OpenAlex

The foam was collected from the water surface and condensed by freezing. The condensate was centrifuged, dialyzed and the non-dialyzable fraction (molecular weight. > 1000 dalton, NDF) was freeze- dried. The resulting material was characterized by IR and UV spectra and by UV spectra of products formed in 90 wt% sulfuric acid. Carbohydrates such as hexoses, pentoses, uronic acids, and polysaccharides, proteins, humic acids, and lignins yield characteristic UV spectra. The spectra in sulfuric acid provided the best information about the composition of the NDF of the foams. Most NDFs of foams contain hexose-based materials and materials resembling humic acids.

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 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)0.002
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.385
Threshold uncertainty score0.239

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.010
GPT teacher head0.218
Teacher spread0.209 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations1
Published2001
Admission routes1
Has abstractyes

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