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Effects of Tuber Storage and Cultivar on the Quality of Vacuum Microwave‐dried Potato Chips

2003· article· en· W2093175109 on OpenAlexaff
James Francis Lefort, T.D. Durance, Mahesh K. Upadhyaya

Bibliographic record

VenueJournal of Food Science · 2003
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPotato Plant Research
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsCultivarFood sciencePotato starchMicrowaveTexture (cosmology)HorticultureVacuum packingStarchChemistryBiologyPhysics

Abstract

fetched live from OpenAlex

ABSTRACT: Influences of storage and cultivar on vacuum microwave‐dried (VMD) potato chip quality were investigated. Tubers of several cultivars were stored at 12 °C for 0 to 4 mo, or at 4 °C for 5 to 10 mo, followed by reconditioning at 12 °C for 2 wk. Blanched potato slices (2.5 to 3.0 mm thick) were vacuum microwave‐dried to produce fat‐free potato chips. Chips were assessed by instrumental and sensory methods for texture and instrumentally for color. Tuber composition influenced chip texture but not color. Less breaking force was required for chips produced from cultivars with low specific gravity and starch contents. Tubers stored for up to 10 mo yielded chips of good quality.

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 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)0.003
metaresearch head score (Gemma)0.001
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 score0.286
Threshold uncertainty score0.172

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.045
GPT teacher head0.288
Teacher spread0.244 · 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 teacher head, 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

Citations30
Published2003
Admission routes1
Has abstractyes

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