Bibliographic record
Abstract
Avocado Fruit (Persea americana Mill. Var. Hass) is one of the most perishable commodities available in the market. It has a very high rate of postharvest respiration, limited shelf life and has special unique characteristics of ripening. In the first part of this study, a silicon membrane system was used for the storage of ‘Hass’ avocado fruits. The silicone membrane system is an efficient method for attaining and maintaining modified atmosphere (MA) in experimental storage chambers. The storage was performed in small sealed experimental chambers fitted with silicon membrane windows. The areas of the windows were calculated in order to achieve 3% oxygen assuming 30, 50, and 70% reduction of the respiration rate due to the effect of the modified atmosphere on the products’ metabolic activity. Fruit stored at regular atmosphere (control) was kept under the same temperature (7°C) and relative humidity (90%) as those stored with silicon membrane system. The gas concentration in the chambers was analyzed using a gas chromatograph. The respiration rate was measured at storage (7°C) and ripening (15°C) temperatures. The effect of sulphur dioxide treatment on ‘Hass’ avocado fruit stored in the silicon membrane system was also evaluated. Fruit quality before storage, after storage and after ripening was evaluated through physiological assessments. Fruit stored under the silicon membrane system remained in an excellent condition for 47 days. Following this period avocados ripened normally in a course of 4-10 days at 15°C and regular atmosphere. After ripening, the fruit did not show any apparent pysiological deterioration or damage, neither development of undesirable organoleptic changes. The chambers with the small membrane area reached stable gas concentration in 6 days, the chambers with the large membrane area never reached steady gas concentration to the desired levels; while the chambers with medium membrane area reached steady gas concentration in 15
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".