Bibliographic record
Abstract
Previous ICESCE conferences were held in Shenzhen, Kunming, Haikou (China), Shenzhen from 2015-2019. In light of the worldwide spread of COVID-19, the conference organizing committee has decided to postpone the 6th edition conference to July 17-19, 2020 in Dali, China for the safety and health of all the participants. The 2020 6th International Conference on Energy Science and Chemical Engineering (ICESCE 2020) is to bring together innovative academics and industrial experts in the field of energy science and chemical engineering to a common forum. The primary goal of the conference is to promote research and developmental activities in energy science and chemical engineering and another goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working all around the world. The meeting focused on the latest research fields of “Energy Science” and “Chemical Engineering”. It consists of two parts: speeches of keynote speakers and oral presentations. More than 100 participants attended the meeting, they were from China, Bulgarian, Canada, India, South Africa, Italy, Ireland and more. In the first part, we invited two professors as our keynote speakers. Prof. Lei Xing, Institute of Green Chemistry and Chemical Engineering, Jiangsu University, China as well as our conference chair. He performed a speech on Functionally graded electrodes and segmented design toward the commercialization of PEM (proton exchange membrane) fuel cells. His research on PEM fuel cells improved cell performance. Assoc. Prof. Md. Hasanuzzaman, Higher Institution Centre of Excellence (HICoE), University of Malaya, Malaysia. He talked about Global Challenges in the Energy Sector: Prospects of Solar Thermal Energy. He appealed to make full use of the solar thermal energy to slow down the global warming and climate change. Their insightful speeches had triggered heated discussion in the second session of the conference. Every participant praised this conference for disseminating useful and insightful knowledge. List of Conference Chair, Organizing Committee and Technical Committee are available in this pdf.
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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 | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.534 | 0.356 |
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".