MétaCan
Menu
Back to cohort
Record W4412951408 · doi:10.18280/i2m.240304

Preparation of New Azo Dye Derived of Pharmaceutical Substances (Procaine and Vitamin B6) and Theoretically Studied as a Carbon Steel Corrosion Inhibitor

2025· article· en· W4412951408 on OpenAlexvenueno aff
Hasanain A. Abdullmajed, Ihsan A. Alasady, Hadi Thamer Obaid, Ghufran A. Mirdan, Nuha A. M. Obaid

Bibliographic record

VenueInstrumentation Mesure Métrologie · 2025
Typearticle
Languageen
FieldMaterials Science
TopicCorrosion Behavior and Inhibition
Canadian institutionsnot available
Fundersnot available
KeywordsVitamin b6CorrosionProcaineCorrosion inhibitorCarbon steelChemistryVitamin bNuclear chemistryOrganic chemistryVitaminPharmacologyBiochemistryMedicine

Abstract

fetched live from OpenAlex

The amine drug procaine hydrochloride is employed in the preparation of the current azo dye, added to another drug, pyridoxine hydrochloride 2-(diethylamino) ethyl (Z)-4-(5hydroxyl-3,4-bis(hydroxymethyl)-6-methylpyridin-2-yl) benzoate.Chemical diagnosis of the prepared chemical compound was done using infrared technology, and mass spectrometry electron spectra were performed for the prepared compound in terms of its basic and acidic properties, which includes determining the protonation constant and the ionization constant at different pH values (2-12), as well as knowing the number of apparent isopiestic points.To the altar of mindful clarification to achieve the highest moisture of azo dye L (pH 12), several clarifying agents were prepared that gave a pH of 12.The theoretical study results also indicated that the new dye (L2) is not as effective at preventing corrosion in carbon steel as the original azo dye (L1) it comes from.Therefore, it is assumed from the above that the experimental results, if conducted, would need to demonstrate a corrosion inhibition efficiency of the inhibitor (L2) that exceeds the value of the inhibitor inhibition efficiency (L1), as predicted by the theoretical results in the computational chemistry program.

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 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 score0.008
Threshold uncertainty score0.513

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)0.0000.000

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 head0.022
GPT teacher head0.347
Teacher spread0.326 · 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 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

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueInstrumentation Mesure MétrologieSame topicCorrosion Behavior and InhibitionFrench-language works237,207