Bibliographic record
Abstract
The 7th Conference of the Sustainable Solutions for Energy and Environment, EENVIRO 2020, October 21-23, 2020 In order to meet the health and safety needs of our attendees and staff, the 7th Conference of the Sustainable Solutions for Energy and Environment (EENVIRO 2020) which was scheduled to be held in Bucharest, Romania, European Union was held virtually online during October 21-23, 2020. Being different from the traditional gatherings we all know, this virtual conference allows us to connect in new ways while keeping expenditure saving and maintaining social distancing. Presentations of presenter from different countries were accessible to hundreds of researchers effectively. This was the original message posted on the conference website: “Since the pandemic has worsened in Romania as well as worldwide and we cannot be certain when the entry restrictions for all incoming travelers to Romania will be lifted, or when the conditions will improve, the EENVIRO 2020 organizing committee has decided to cancel the onsite conference and to hold the conference online only.” At the conference time, 21-23rd October 2020, Bucharest city, the Romania capital (the original conference location) was Covid red code. This meant that no gathering of more than 10 persons were allowed. A lot of countries from which we have participants at EENVIRO Conference were at that moment under travel restrictions to Europe Union (Australia, China, Russia, Canada, etc) or under travel restrictions (2 weeks of quarantine) for the travelers from European Union to Romania. The organizers took into account the possibility of postponing the conference for 2021 but this was not a solution in this case due to various reasons. We issued a questionnaire for the potential participants and the reasons presented by them to organize an online conference were very strong. For example, in the frame of the conference some of the participants had some workshops dedicated to present the results from various research grants on different topics. These researchers were pressed to present the results in 2020 in the frame of their research grants. Other participants wanted to meet in the frame of the conference to propose new research topics to work on. Also, according to our authorities we did not have an answer to the question “When the conference could be organized in the near future?”. Also, the organizers talked with other conference organizers worldwide like indoorair2020.org and they did the same thing as organizing the online conference mostly due to the same reasons. Almost all the participants answered that they prefer that the EENVIRO 2020 conference to be hold online. List of titles EENVIRO 2020 Organizing Committee, Organizing Committee, Scientific 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 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.574 | 0.408 |
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".