Determination of cooking times of pulses using an automated Mattson cooker apparatus
Bibliographic record
Abstract
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
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".