Sinergismo entre el cloruro de sodio, sacarosa y fosfato tricálcico en la deshidratación osmótica de oca (Oxalis tuberosa) con y sin recubrimiento de Quitosano
Bibliographic record
Abstract
Se investigó el efecto sinérgico de tres solutos (cloruro de sodio, sacarosa, y fosfato tricálcico) en distintas combinaciones de concentración, sobre la humedad, ganancia de sólidos y ganancia de calcio en la deshidratación osmótica de oca (Oxalis tuberosa) con y sin recubrimiento de quitosano (CR y SR). En ambos casos se aplicó un diseño de mezclas Simplex con Centroide Ampliado. Se utilizaron cilindros de oca de 0.9 cm de diámetro y 3.4 cm de longitud. Se evaluó la cinética de la humedad, ganancia de sólidos y ganancia de calcio durante 48 horas. Se determinó la difusividad efectiva del agua, sólidos y calcio. Se encontró que en muestras CR hay mayor pérdida de agua y menor ganancia de sólidos comparado con las muestras SR, principalmente cuando el cloruro de sodio o sacarosa participa independientemente, en tanto que para la ganancia de calcio, en todos los casos, las muestras CR ganan mayor cantidad de calcio que las muestras SR. Las difusividades efectivas encontradas fueron: para el agua,1.19E-09 m2/s en muestras CR y 1.34E-09 m2/s en muestras SR; para los sólidos, 3.67E-09 m2/s en muestras CR y 5.43E-09 m2/s en muestras SR; y, para el calcio 3.32E-11 m2/s en muestras CR y 1.57E-09 m2/s en muestras SR.
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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 | 0.000 |
| 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) | 0.001 | 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 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".