Rehabilitació i reforma de la masia "Can Trias" a Sant Matí de Llémena
Bibliographic record
Abstract
Aquest document conte un projecte de rehabilitacio i reforma d’una masia existent al terme municipal de Sant Marti de Llemena per adaptar-la a un nou us com a allotjament rural amb vivenda privada. La primera part del projecte recull una memoria descriptiva en la que s’informa de l’estat actual de les dues edificacions que seran objecte de la rehabilitacio i reforma. S’aporten testimonis grafics de cadascun dels elements que la composen agrupats per subsistemes constructius i es defineixen les lesions i processos patologics existents amb aportacio, tambe, de fotografies. A continuacio, es troba la memoria constructiva en la qual primer es defineixen les propostes de intervencio per tal de subsanar les lesions i processos patologics descrits a l’apartat anterior i, posteriorment, es recullen els parametres tecnics referents a la reforma de l’edifici per a l’adequacio al seu nou us. En aquest apartat s’aportara una descripcio de les intervencions a realitzar en cadascun dels casos. Posteriorment, es troba el pressupost total de la intervencio de reforma i rehabilitacio, amb capitols agrupats segons la descripcio de les intervencions aportada en l’apartat anterior El seguent apartat es l’estudi basic de seguretat i salut, en el qual s’identifiquen i avaluen els possibles riscos que comporten cadascuna de les fases d’execucio de l’obra agrupades per subsistemes constructius i es proposa l’adopcio de mesures preventives adients en cada cas. Per ultim, s’adjunten els annexos necessaris per comprendre i acabar de definir allo expressat en els apartats anteriors amb aportacio de fitxes tecniques, justificacions de calcul i documentacio grafics.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.019 | 0.002 |
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".