Sequential Controlled Atmosphere Storage for `McIntosh' Apples
Bibliographic record
Abstract
Sequential decreases or increases in the levels of O 2 in controlled atmosphere (CA) were investigated as techniques to improve fruit quality of `McIntosh' apples ( Malus × sylvestris [L.] Mill. var. domestica [Borkh.] Mansf.), a cultivar that tends to soften rapidly in storage. Precooled fruit that were harvested at optimum maturity for long-term storage were placed immediately in different programmed CA regimes. In the first year, CA programs consisted of 1) `standard' CA (SCA; 2.5–3.0% O 2 + 2.5% CO 2 for the first 30 d, 4.5% CO 2 thereafter) at 3 °C for 180 d; 2) low CO 2 SCA (2.5–3.0% O 2 + 2.5% CO 2 ) at 3 °C for 60 d, transferred to low O 2 (LO; 1.5% O 2 + 1.5% CO 2 ) at 0 or 3 °C for 60 d, and then to ultralow O 2 (ULO; 0.7% O 2 + 1.0% CO 2 ) at 0 or 3 °C for 60 d; and 3) ULO at 3 °C for 60 d, transferred to LO at 0 or 3 °C for 60 d, and then to SCA or low CO 2 SCA at 0 or 3 °C for 60 d. In the second year, the regimes sequentially decreasing in O 2 were compared with continuous ULO and SCA. After removal from storage, apples were held in ambient air at 20 °C for a 1-week ripening period. Fruit firmness was evaluated after 1 and 7 d at 20 °C, whereas the incidence of physiological disorders was assessed only after 7 d. Lowering the temperature while decreasing O 2 was the best CA program with significant increased firmness retention during storage and after the 1-week ripening period. Reduced incidence of low O 2 injury in decreasing O 2 programs and absence of core browning at the lower temperature were also observed.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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".