Evaluation of mathematical models to predict methane emissions from ruminants under different dietary mitigation strategies
Notice bibliographique
Résumé
GGAA history, purpose, aims and audienceThe Greenhouse Gas and Animal Agriculture Conference (GGAA) is the premier international conference summarising the collective state of scientific knowledge on greenhouse gas abatement strategies and production systems adaptation needs for the livestock sector.The gathering features leading scientists and policymakers reviewing the current state of knowledge and presenting significant new developments in policy, measurement, modelling, mitigation and adaptation efforts associated with greenhouse gases from animal agriculture.The Conference takes place every 3 years, moving from continent to continent at each edition.The first conference, GGAA2003, was held in Japan with 200 delegates from 20 countries.Five subsequent GGAA conferences have been convened: GGAA2005, Switzerland; GGAA2007, New Zealand; GGAA2010, Canada, with the biggest in Ireland, GGAA2013, attracting 460 delegates from 41 countries.The GGAA2016 in Australia received more than 300 delegates from 36 countries. GGAA2019The GGAA2019 focused on the theme "Science supporting Practices" and happened for the first time in Latin America.Following on from the six previous GGAA conferences, presented the latest research on the measurement, modelling, mitigation of greenhouse gases, while also seeking to discuss adaptation efforts and the impact of these advances for farmers, managers and policy makers.At the GGAA2019 conference, held in Iguassu Falls, Brazil, almost 200 delegates from 39 countries gathered to participate in a program featuring 11 invited keynote speakers, 47 offered presentations and 111 poster presentations.The conference was organised into four sessions covering: Technical advances: from genomics to precision agriculture, that addressed aspects related to Measuring and Modelling GHG; Farm level low carbon initiatives, which addressed Mitigation and Adaptation strategies to provide more Resilient production systems; Regional low carbon initiatives, which considered the Landscape, Regional management and National Commitments; International low carbon initiatives, that presented examples from IPCC, NDCs, FAO, World Bank.Delegates were offered the opportunity to publish their research in this peer-reviewed Special Edition of Animal, Cambridge University Press, with all abstracts published in conference proceedings.Volume One of the GGAA2019 Special Edition will include 20 peer-reviewed papers and will be available within the last quarter of 2019.The 'virtual' Volume Two will present the Proceedings… in a digital way, available in the web site.Taken together, these special editions provide the latest summary of the current state of knowledge on policy developments, measurement, modelling, mitigation and adaptation efforts associated with greenhouse gases from animal agriculture. VENUEThe city of Iguassu Falls was selected to host the event for the first time in Latin America thanks to its excellent geographical location within the triborder region of Brazil, Argentina and Paraguay.The city boasts an international airport that connects to the leading international airports in South America and can easily be reached by Latin American participants via bus or car.Besides the facilitated access, Iguassu Falls is further complemented by technical and scientific attractions part of the context of the conference, such as waterfalls, a national park, bioenergy and hydroelectric complex which were included as technical visits.
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 | 0,004 | 0,008 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,002 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,002 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
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 ».