Assaig de valoració dietètica d'alguns plats tradicionals catalans
Bibliographic record
Abstract
El països de l'àrea mediterrània tenen a l'abast aliments suficientment diversifi cats per practicar una alimentació sense carències i equilibrada.Dissortadament, la manca d'ensenyament i d'informació d'aquests temes a la població del nostre país comporta que a la pràctica això no es compleixi.Però arreu dels Països Catalans es manté el costum de menjar freqüentment alguns dels plats de la cuina tradicional, senzilla, casolana, que resulta molt atractiva, variada i nutritiva.Si hom es pregunta quins són els seus efectes dietètics, podem dir que, en alguns casos, com l'escalivada, són excel .lents: permeten tenir el cos ben alimentat i fer una dieta equilibrada.En altres, la cosa es complica per l'excés de greixos especialment.L'objectiu d'aquest treball és doble: d'una part, el millor coneixement dels nostres hàbits alimentaris, i de l'altra, oferir una solució acceptable per a ambdues parts: recomanacions dietètiques amb valor gastronòmic.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.022 | 0.003 |
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".