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Enregistrement W4239657228 · doi:10.1088/1755-1315/728/1/011001

Preface

2021· article· en· W4239657228 sur OpenAlexaboutno aff

Notice bibliographique

RevueIOP Conference Series Earth and Environmental Science · 2021
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueConferences and Exhibitions Management
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésBeijingChinaLibrary sciencePolitical scienceSustainable developmentPublic relationsMedical educationMedicineComputer science

Résumé

récupéré en direct d'OpenAlex

The 2020 11th International Conference on Environmental Science and Technology (ICEST 2020) was held as virtual conference during November 19-21, 2020 due to recent pandemic. The decision to hold the virtual conference was made by conference committees in compliance with many travel restrictions and regulations that were imposed by countries all over the world. The health and safety of our participants and members is top priority to the conference organization. Therefore, worldwide participants have attended this online conference by zoom application and finished their oral presentations successfully. Conducted by the organizing committees in Beijing, there are around 70 participants in total and they are from UK, Indonesia, Australia, Canada, Japan, Romania, China, Thailand and so on. ICEST 2020 is supported by Beijing Normal University (BNU), Xiamen University of Technology (XMUT), International Society for Environmental Information Sciences (ISEIS), South-South Collaborative and Sustainable Development Center (SSCSDC), and Fujian Smart City Association (FSCA). This three-day conference focused on the research fields in environmental science and technology. The primary goal of the conference is to promote research and development activities in environmental science and technology. Another goal is to promote scientific information interchange among researchers, developers, engineers, students, and practitioners working in China and abroad. During the conference, the conference model was divided into mainly two parts, including keynote speakers and oral presentations. In the first part, we invited internationally well-known experts to deliver speeches as keynote speakers. They are Prof. Yongping Li from Beijing Normal University, China; Assoc. Prof. Farhad Shahnia from Murdoch University, Australia; Prof. Guilin Zheng from Wuhan University, China; Prof. Wei-Jen Lee from University of Texas at Arlington, USA; Assoc. Prof. S. M. Muyeen from Curtin University, Australia; Prof. Zhijun Peng from University of Bedfordshire, UK. In the second part, each scholar was given 12 minutes to perform their oral presentation and 3 minutes for Q&A. All papers presented at the 2020 11th International Conference on Environmental Science and Technology (ICEST 2020) are included in this volume, which contains four chapters with topics: (1) Hydrology and Water Resources Management, (2) Solid Waste Treatment and Soil Pollution Assessment, (3) Energy Saving and Emission Reduction, (4) Building Climatology and Bioclimatology. All papers are subjected to peer-review by conference committee members and international reviewers. The papers are selected based on high quality and high relevancy to the conference scope. We would like to express our gratitude to all individuals and organizations who supported the ICEST 2020. Their helps and contributions are of great importance to the success of this conference. In addition, we would like to thank the organizing committee for its valuable inputs in shaping the conference program and reviewing the submitted papers. We sincerely hope that the ICEST 2020 turned out to be a forum for excellent discussions that enabled new ideas to come about and promoted collaborative research works. We are sure that the proceedings will serve as an important research source of references and knowledge, which will lead to not only scientific and engineering findings but also new products and technologies. Yongping Li Beijing Normal University, China Dec. 16, 2020 Committees, Conference Chairs, Technical Program Committee, Guest Editors, Organizing Committee, Contact Chair, Technical Members, are available in the pdf

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,009
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: aucune
Score de désaccord entre enseignants0,538
Score d'incertitude au seuil0,000

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,009
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0020,002
Études des sciences et des technologies0,0030,001
Communication savante0,0040,004
Science ouverte0,0020,003
Intégrité de la recherche0,0020,003
Charge utile insuffisante (le modèle a refusé de juger)0,5380,367

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.

Tête enseignante Opus0,019
Tête enseignante GPT0,237
Écart entre enseignants0,218 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreÉditorial

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2021
Routes d'admission1
Résumé présentoui

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