Study the Plant Design Of City Strand Water Space ÉTUDE DE LA CONCEPTION DES INSTALLATIONS DE NORMES D’EAU DANS L'ESPACE URBAINE
Bibliographic record
Abstract
The environment view more and more pays attention to water body and have no water ineffective, but strand water space design in the view in have become a necessary link. The plant allocation of strand water in the city grass also wants to pay attention to be reasonable of match, processing very the wonderful pen then living a flower, whereas indescribable then. This text mainly introduced the meaning of strand water view design in checking the foundation of related data and put forward the concept of strand water plant and to the understanding of the strand water space plant landscape .From the strand water space plant landscape art, the application of strand water plant and it elaborates the plant view in strand water space at main allocation method etc. in the park. Key words: Strand water space of city; Plant design; Way to planning; The art of design Resume: L'environnement voir plus et plus attentive a l'eau et le corps n'ont pas d'eau inefficace, mais la conception d'espace brin d'eau dans la vue en sont devenus un lien necessaire. La repartition des plantes d'eau dans l'herbe brin ville veut aussi faire attention a etre raisonnables du match, un traitement tres belle plume qui vivait alors une fleur, alors indescriptible alors. Ce texte introduit notamment le sens de la conception de visualiser brin d'eau dans la verification de la Fondation de donnees liees et de mettre en avant le concept de l'usine d'eau brin et a la comprehension du paysage brin d'eau de l'usine de l'espace. De l'art brin d'eau de l'espace paysage vegetal, l'application de l'usine d'eau brin et il elabore la vue des plantes dans l'espace de l'eau au fil etc principale methode d'allocation dans le parc. Mots cles: L’espace d’eteincelle aquatique de ville; La conception de l'usine; Le moyen de la planification; L'art du design
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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 | 0.003 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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; both teacher heads agree on what is shown here.
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".