Osiguranje iskopa građevne jame gradske knjižnice Paromlin u Zagrebu
Bibliographic record
Abstract
Izbor zaštite građevne jame od izuzetne je važnosti kako bi se osigurala sigurnost radnika, susjednih objekata i okoline tijekom izgradnje.Specifični uvjeti gradilišta, geološki uvjeti, dubina jame i obližnja infrastruktura ključni su za odabir metode zaštite građevne jame.Rad daje uvid u nekoliko varijantnih rješenja osiguranja dubokog iskopa građevne jame gradske knjižnice Paromlin u Zagrebu, za koje je napravljen proračun u programskom paketu PLAXIS 2D, koji se temelji na numeričkoj analizi, odnosno metodi konačnih elemenata, uzimajući u obzir geotehničke karakteristike tla utvrđene istražnim radovima, dubinu jame, uvjete okoline, zahtjeve projekta, pravne i sigurnosne aspekte te ekonomsku izvedivost.Kako bi se odabrala najprikladnija metoda zaštite jame, proveden je proračun za sedam varijantnih rješenja na mjerodavnom poprečnom presjeku, a koja se mogu svrstati u tri tipa zaštite građevne jame: zaštita čeličnim talpama
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.006 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.017 | 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".