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Record W2030578272 · doi:10.1002/jsfa.2134

Determination of cooking times of pulses using an automated Mattson cooker apparatus

2005· article· en· W2030578272 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.

Bibliographic record

VenueJournal of the Science of Food and Agriculture · 2005
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPostharvest Quality and Shelf Life Management
Canadian institutionsnot available
Fundersnot available
KeywordsCookerSativumPisumPhaseolusComputer scienceMathematicsFood scienceHorticultureChemistryBiologyEngineeringMechanical engineering

Abstract

fetched live from OpenAlex

Abstract A Mattson bean cooker apparatus was modified to electronically register individual cooked seeds by automatically recording the time taken for each plunger to drop. Contact switches, interfaced with a computer via a digital input/output board, were activated when individual plungers dropped through the cooked seeds. It was found that at the time when 80% of the seeds had been penetrated the Mattson cooker method agreed with a tactile method for determining cooking times for yellow peas ( Pisum sativum ), lentils ( Lens culinaris ), chickpeas ( Cicer arietinum ) and navy beans ( Phaseolus vulgaris ). Compared with the tactile method, the automated Mattson cooker method was more objective, much easier to carry out and more resource‐efficient. The automated Mattson cooker could provide plant breeders and the pulse industry with a reference testing method for evaluating the cookability of pulses. Copyright © 2005 Society of Chemical Industry

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 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 score0.086
Threshold uncertainty score0.106

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 studies0.0000.000
Scholarly communication0.0000.001
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 head0.029
GPT teacher head0.272
Teacher spread0.242 · 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