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Record W2145228119 · doi:10.1002/pola.24090

Poly[<i>N</i>‐isopropyl acrylamide]‐<i>co</i>‐polyurethane copolymers for controlled release of urea

2010· article· en· W2145228119 on OpenAlexaff
Anu Stella Mathews, Suresh S. Narine

Bibliographic record

VenueJournal of Polymer Science Part A Polymer Chemistry · 2010
Typearticle
Languageen
FieldEngineering
TopicPolymer-Based Agricultural Enhancements
Canadian institutionsTrent UniversityUniversity of Alberta
Fundersnot available
KeywordsPolyurethaneCopolymerUreaCoated ureaControlled releasePolymerAcrylamidePolymer chemistryChemistryAqueous solutionFourier transform infrared spectroscopyScanning electron microscopeChemical engineeringNuclear chemistryMaterials scienceOrganic chemistryComposite material

Abstract

fetched live from OpenAlex

Abstract A novel block copolymer of poly[N‐isopropyl acrylamide]‐co‐polyurethane was designed, synthesized, and applied as controlled release fertilizer coating. Structural confirmation of the copolymer was performed using FTIR and 1H‐NMR spectra and elemental analysis. The coating process consists essentially of immersing urea granules in molten polymer and removing the coated urea from the melt by centrifugal action. The morphology of the coated urea was studied using scanning electron microscope (SEM). The polymer coat of the urea granules was found to swell in water forming pores and enabling the release of urea. The urea released from the granule, monitored using a mass spectroscopy technique, was found to be governed by pH of the aqueous medium. The study anticipates development of a beneficiary fertilizer coat in terms of improving controlled release over a period of time which can be tailored by soil temperature, pH and moisture. © 2010 Wiley Periodicals, Inc. J Polym Sci Part A: Polym Chem 48: 3236–3243, 2010

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 score0.000
Threshold uncertainty score0.002

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)0.0000.000

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 head0.006
GPT teacher head0.237
Teacher spread0.231 · 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

Citations37
Published2010
Admission routes1
Has abstractyes

Explore more

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