Metodología para el transporte de largo recorrido de huevos de sepia (Sepia officinalis).
Bibliographic record
Abstract
Sepia officinalis está ganando impulso como especie objetivo en la acuicultura actual. Es por \nello que surge la necesidad de crear una metodología de transporte de los huevos de estos \nanimales. En este estudio, se determinaron las condiciones óptimas para la realización de este \ntransporte. En primer lugar, se analizaron tres tipos de contenedores, concluyendo que la caja \nde poliestireno correspondiente a la marca PMED48 es la más adecuada para el transporte. \nAdemás, dicho transporte deberá realizarse con una biomasa máxima de 50 huevos con O2 puro \ncomo tipo de oxigenación, puesto que se ha demostrado que de esto modo, se obtienen las \nmejores tasas de eclosión tras el transporte. Finalmente, se determinó la necesidad de un tampón \npara amortiguar las bajadas de pH que sufre el agua durante el transporte debido a la excreción \nde productos de desecho (amonio y CO2), concluyendo que el tampón Turtle PortugalPet – \nPortugal, con CaCO3, es el más adecuado.
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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 | 0.001 |
| 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".