Plastic container opening area for optimum hydrocooling
Bibliographic record
Abstract
Vigneault, C., Goyette, B., Markarian, N.R., Hui, C.K.P., Cote, S., Charles, M.T. and Emond, J.-P. 2004. Plastic container opening area for optimum hydrocooling. Canadian Biosystems Engineering/Le genie des biosystemes au Canada 46: 3.41 3.44. The water distribution inside plastic collapsible containers used for handling fruits and vegetables was investigated for non-uniform water supply using three types of produce. This study allowed the determination of the optimum percentage opening at the base of containers for efficient hydrocooling process in the event of non-uniform water supply over the containers. The results show that better water distribution is obtained when the container base opening is 5.2% as compared to 7 and 12%. In general, the 12% container base opening provided the least uniform water distribution through the produce filled container. It is recommended to use a container base opening that covers approximately 5.2% of the bottom surface. This will allow a more uniform water distribution and insures the fastest cooling rate by obtaining higher minimum flow rate in each section of the container. La distribution de l’eau a l’interieur d’un contenant pliable en plastique utilise pour la manutention des fruits et legumes frais a ete etudiee a l’aide de trois types de produits et d’une source d’eau non uniforme. Cette etude a permis de determiner le pourcentage optimal d’ouverture au fond des contenants en terme d’efficacite du procede de refroidissement a l’eau. Les resultats montrent que les meilleures distributions d’eau ont ete obtenues a l’aide d’une ouverture totale de 5.2% par rapport a 7 et 12%. En general, les ouvertures de 12% ont donne des distributions d’eau moins uniformes a travers la masse de produit que les autres ouvertures a plus faibles pourcentages. Il est donc recommande d’utiliser une surface totale d’ouverture d’environ 5.2% au fond de ces contenants pour permettre une distribution d’eau plus uniforme et un refroidissement plus rapide en obtenant un debit minimum plus eleve dans chacune des sections du contenant.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".