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Record W4293225745 · doi:10.21203/rs.3.rs-1353546/v1

Solvent-free synthesis of diketopyrrolo [3,4-c] pyrrole pigments

2022· preprint· en· W4293225745 on OpenAlexaff
Bansi kaul

Bibliographic record

VenueResearch Square · 2022
Typepreprint
Languageen
FieldChemistry
TopicSynthesis and Characterization of Pyrroles
Canadian institutionsTheratechnologies (Canada)
Fundersnot available
KeywordsPyrroleReagentSolventProcess (computing)Combinatorial chemistryChemistryMoleculePigmentLiquid-crystal displayCarbon fibersProcess engineeringMaterials scienceNanotechnologyOrganic chemistryComputer scienceEngineeringOptoelectronicsComposite numberAlgorithm

Abstract

fetched live from OpenAlex

Abstract The paper describes environmentally friendly and cost effective solvent-free multistep & multi-reagent process of the synthesis of.diketopyrrolo[3,4-c]pyrrole/2,5-dihydropyrrolo[3,4-c]pyrrole-1,4-dione (DPP) pigments, a new class of most recently introduced high-performance pigments, now in use for a variety of applications, beyond colour appearance , such as liquid crystal displays (LCD) of electronic equipments & TV monitors. Silent features of the process versus state-of-the-art of process, reaction mechanism of the in-situ multistep synthesis and mechanism of the formation of by-products are discussed. Moreover, the process provides the only approach to the stepwise synthesis of unsymmetrical diketopyrrolo pyrrole molecules. The process is particularly aimed at reducing carbon emissions and for energy saving in chemical processes.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

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)0.0010.001

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 head0.056
GPT teacher head0.357
Teacher spread0.301 · 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 source (direct Gemma or distilled Codex), 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

Citations1
Published2022
Admission routes1
Has abstractyes

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