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Record W2032720267 · doi:10.1139/v01-065

Détermination de la stabilité du complexonate peu soluble à partir des données pH-métriques

2001· article· en· W2032720267 on OpenAlexvenueno aff
Igor Povar

Bibliographic record

VenueCanadian Journal of Chemistry · 2001
Typearticle
Languageen
FieldChemistry
TopicElectrochemical Analysis and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsSolubility equilibriumChemistrySolubilityEquilibrium constantPotentiometric titrationStability constants of complexesChemical equilibriumElectroanalytical methodStability (learning theory)ThermodynamicsHydrolysisActivity coefficientAnalytical Chemistry (journal)IonPhysical chemistryAqueous solutionChromatographyOrganic chemistry

Abstract

fetched live from OpenAlex

A new method has been developed for the determination of the solubility product of complexonate of known composition; because of the initial composition of the heterogeneous mixture (lot a), it uses only the equilibrium values of the pH. For the determination of the stability constant in solution, these data have been completed with information on the solubility of the precipitate. We have shown that, on the basis of lot a and in the absence of reactions of formation of complexes in solution, it is possible to evaluate the equilibrium constants, since they are residuals of the compositions of the precipitate. We conclude on the possibility of applying this method to the test and standardization of ion-selective electrodes. The qualities and defect of the method are discussed. Otherwise, the values for the equilibrium constants and the equilibrium as well as the residual concentrations that we have calculated for a series of real systems from known experimental data are in good accord with those reported in tables under the same conditions.Key words: potentiometric method, heterogeneous system, slightly soluble complexonate, complexone, equilibrium concentration, solubility product, stability constant, hydrolysis reaction.[Journal Translation]

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 categoriesInsufficient payload (model declined to judge)
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 score0.077
Threshold uncertainty score1.000

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 head0.016
GPT teacher head0.239
Teacher spread0.223 · 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.

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

Citations4
Published2001
Admission routes1
Has abstractyes

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