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Record W3117966038 · doi:10.1139/cjc-2020-0260

Application of highly efficient and reusable H<sub>3</sub>PW<sub>12</sub>O<sub>40</sub>/Fe<sub>3</sub>O<sub>4</sub>@SiO<sub>2</sub>-Pr-Pi nanocatalyst for preparation of dihydro-2-oxypyrrole derivatives

2020· article· en· W3117966038 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCanadian Journal of Chemistry · 2020
Typearticle
Languageen
FieldChemistry
TopicMulticomponent Synthesis of Heterocycles
Canadian institutionsnot available
Fundersnot available
KeywordsCatalysisChemistryAnilineNuclear chemistryFourier transform infrared spectroscopyFormaldehydeHeterogeneous catalysisThermogravimetric analysisPiperidineAnalytical Chemistry (journal)Medicinal chemistryChemical engineeringOrganic chemistry

Abstract

fetched live from OpenAlex

In this study, a novel heterogeneous catalyst (H 3 PW 12 O 40 /Fe 3 O 4 @SiO 2 -Pr-Pi) was prepared via immobilization of H 3 PW 12 O 40 on the surface of piperidine modified magnetic nanoparticles (Fe 3 O 4 @SiO 2 -Pr-Pi). The synthesis of dihydro-2-oxypyrrole derivatives was carried out by the reaction of substituted aniline, formaldehyde, and dimethyl acetylenedicarboxylate, promoted by H 3 PW 12 O 40 /Fe 3 O 4 @SiO 2 -Pr-Pi in EtOH. The formation of resultant catalyst was confirmed by FTIR spectroscopy, FE-SEM, EDX, VSM, and TGA techniques. The magnetically separable and environmentally friendly nanostructured catalyst remained quite stable during reaction conditions and was reused for at least five recycle runs.

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.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesMeta-epidemiology (narrow)
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 score0.007
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0020.000
Research integrity0.0020.002
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 head0.011
GPT teacher head0.219
Teacher spread0.207 · 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