Notice bibliographique
Résumé
Associated research Centers for the Urban Underground Space (ACUUS) is an international, non-governmental organisation, promoting the sustainable use of the underground space. The ACUUS 2020 Virtual Conference took place in Helsinki, Finland on 3-4 February 2021 and was organized by the International organisation ACUUS, Finnish Tunnelling Association (MTR-FTA), Finnish Association of Architects (SAFA) and Finnish Association of Civil Engineers (RIL). The original dates for this conference were in September 2020. Due to covid-19 travel restrictions, the conference was postponed and it was arranged only virtually. Most of the scientific papers were received before summer holidays 2020 and it would have been unpleasant to postpone publishing these papers any longer. The conference included 96 presentations altogether. There were three categories of presentations: eight keynote speeches, 68 live presentations and 20 on demand video presentations. The keynotes represented current topics from the underground architecture to the latest developments in using underground space as well as the impact of the covid-19 Pandemic. The live presenters had 12 minutes time for presentation and then three minutes for Q/A. Moreover, 1400 chat messages were sent between participants during the conference. This publication consists of 51 accepted scientific papers under the following themes: Architecture Urban planning City development Underground infrastructures Design Reuse of underground space Sustainability and environment Geothermal energy Safety and human factors Perspectives Technical approaches and innovations The ACUUS 2020 conference had 195 participants from 24 countries. The participants in order of magnitude were from Finland, China, Japan, Hong Kong, Sweden, United States, Greece, Russia, United Kingdom, Singapore, Canada, Norway, Switzerland, Australia, Albania, Austria, Belgium, France, India, Iran, Israel, Italy, Serbia and Spain. The ACUUS 2020 conference was broadcasted in two parallel streams by ProspectumLIVE system. The papers were evaluated and reviewed by Ex-Ordo’s management system. The conference was considered very successful based on the participants’ feedback giving mean score of 4.3 (1 poor…5 excellent) for the overall conference experience and the overall technical quality mean score of 4.4. The ACUUS 2020 conference in Helsinki was the 17th in its history. The next conference will be held in Singapore in 2023. We want to take the opportunity to thank the authors of the published articles, the Scientific Committee members for their improving comments to the submitted papers in the review process and all active conference participants for interesting discussions during the sessions and breaks that contributed to the ACUUS 2020 Helsinki success. Editors Ilkka Vähäaho Chair of the ACUUS 2020 Scientific Committee Erik Johansson Co-chair of the ACUUS 2020 Scientific Committee
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,010 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,003 | 0,002 |
| Études des sciences et des technologies | 0,003 | 0,001 |
| Communication savante | 0,005 | 0,004 |
| Science ouverte | 0,002 | 0,003 |
| Intégrité de la recherche | 0,002 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,641 | 0,482 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».