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Record W2945709183 · doi:10.1080/07373937.2019.1616751

Freeze-drying of maple syrup: Efficient protocol formulation and evaluation of powder physicochemical properties

2019· article· en· W2945709183 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueDrying Technology · 2019
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicMicroencapsulation and Drying Processes
Canadian institutionsUniversité Laval
FundersCanadian Food Inspection Agency
KeywordsMapleWater activityGlass transitionSugarWater contentDissolutionMoistureChemistryFreeze-dryingKineticsFood scienceMaterials scienceChemical engineeringChromatographyOrganic chemistryBotanyPolymer

Abstract

fetched live from OpenAlex

An efficient two-step protocol for freeze-drying of dark grade maple syrup was developed from glass transition temperature determinations, online-thermal history, and drying kinetics. Maple sugar powders (MSP), produced under two drying times (25 and 30 h), were analyzed for their physicochemical properties. Moisture content and water activity (aw) of MSP were determined to be in the range of 3–4% dry basis and 0.19–0.21 aw, respectively. The powders exhibited fair to poor flow characteristic owing to its cohesiveness. However, they have instant-like properties with dissolution times shorter than 14 s. MSP were highly hygroscopic, requiring to be stored below 0.36 aw at ambient temperature.

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)0.000
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 score0.020
Threshold uncertainty score0.160

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 head0.031
GPT teacher head0.265
Teacher spread0.234 · 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