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Record W3111047611

Możliwości wykorzystania spektroskopii fotoelektronów w analizie jakości środowiska wodnego

2020· article· pl· W3111047611 on OpenAlexaff
Jacek Ryl, Tadeusz Ossowski, Elżbieta Niemirycz, Maria Elektorowicz

Bibliographic record

VenueTechnologia Wody · 2020
Typearticle
Languagepl
FieldEnvironmental Science
TopicWater Treatment and Disinfection
Canadian institutionsConcordia University
Fundersnot available
KeywordsX-ray photoelectron spectroscopyPhysicsNuclear magnetic resonance
DOInot available

Abstract

fetched live from OpenAlex

Spektroskopia fotoelektronow w zakresie promieniowania X, (XPS, z ang. X-ray photoelectron spectroscopy) jest nowoczesną metodą analityczną wykorzystywaną w wielu wiodących ośrodkach naukowych na świecie. Jest ona stale ulepszana, jak tez poznawane są nowe obszary jej zastosowania. W niniejszym artykule przedstawione zostaly mozliwości wykorzystania metody XPS w ramach obszarow badawczych powiązanych z gospodarką wodną, takich jak analiza jakościowa i ilościowa wod oraz osadow dennych, ocena stanu technicznego obiektow i instalacji wodnych oraz badania technik membranowych i bioreaktorow wykorzystywanych w ochronie środowiska wodnego.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.372
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.016

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 head0.023
GPT teacher head0.200
Teacher spread0.177 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2020
Admission routes1
Has abstractyes

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