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Record W2786672700 · doi:10.1021/acs.cgd.7b01661

Accessing Phase-Pure and Stable Acetaminophen Polymorphs by Thermal Gradient Crystallization

2018· article· en· W2786672700 on OpenAlex
Basab Chattopadhyay, Luc Jacobs, Piyush Panini, Ingo Salzmann, Roland Resel, Yves Geerts

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCrystal Growth & Design · 2018
Typearticle
Languageen
FieldMaterials Science
TopicCrystallization and Solubility Studies
Canadian institutionsConcordia University
FundersFonds De La Recherche Scientifique - FNRS
KeywordsCrystallizationTemperature gradientPolymorphism (computer science)Materials scienceThermalPhase (matter)Thermal stabilityCrystallographyCrystal growthDiffractionChemistryThermodynamicsOpticsPhysicsOrganic chemistry

Abstract

fetched live from OpenAlex

We employ a simple and reproducible methodology based on thermal gradient crystallization to access forms I and II of acetaminophen. This methodology provides insight into the role of heat flux in the control over polymorphism and phase transitions. We report the crystallization of different polymorphs of acetaminophen as a function of the thermal gradient parameters (magnitude of the gradient, sample velocity) in a thin film geometry. The thin-film samples were displaced at well-defined velocities (1 ≤ v ≤ 75 μm/s) to control both the direction and the rate of crystal growth. We carried out a detailed structural analysis combining polarized optical microscopy and X-ray diffraction (specular and grazing-incidence) to characterize the crystalline forms isolated by the thermal gradient technique. The resulting polymorphic forms have been found to exhibit high phase purity and remarkable stability over time.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient 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 score0.320
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
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 head0.031
GPT teacher head0.272
Teacher spread0.241 · 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