Preface for special issue of ICGC-9 in Athens, Greece
Bibliographic record
Abstract
The 9th IUPAC International Conference on Green Chemistry (ICGC-9), took place in Athens, Greece, on 5th-9th September 2022 at Zappeion Megaron, offering the choice of virtual participation.The ICGC-9 was organized by the Association of Greek Chemists (AGC) in collaboration with the IUPAC Interdivisional Committee on Green Chemistry for Sustainable Development (ICGCSD).It was endorsed by IUPAC and was held under the auspices and recognition of European Chemical Society (EuChemS), American Chemical Society (ACS), the Hellenic Green Chemistry Network and the Departments of Chemistry of Aristotle University of Thessaloniki and of National and Kapodistrian University of Athens.The ICGC-9 was the ninth of a series of ICGCSD/IUPAC successful conferences on Green and Sustainable Chemistry that started 16 years ago in Germany ( 2006), followed by the conferences in Russia (2008), Canada (2010), Brazil (2012), South Africa (2014), Italy (2016), Russia (2017) and Thailand (2018).The IUPAC ICGC conferences offer the opportunity to discuss the latest developments in green & sustainable chemistry, to expand existing and establish new relations among academia and industry, and to disseminate the philosophy and principles of sustainable development and circular (bio)economy.The conference was attended by 450 participants from 74 countries and the program consisted of 9 Plenary and 17 Keynote Lectures, ∽200 Oral and ∽300 Poster presentations.The 9th IUPAC International Conference on Green Chemistry covered the following general topics: -Green Chemistry in Academia, Research and Industry -Green Chemistry in Education and Society -Green Chemistry for Sustainable Development, Bioeconomy and Circular Economy while, specific topics included: -Green solvents -Safe reagents and chemicals -Sustainable organic synthesis -Catalytic processes (homogeneous, heterogeneous and bio-catalysis) -Biomass derived platform & fine chemicals, pharmaceuticals, monomers, polymers, materials -Alternative fossil fuels and biofuels, green bio-energy -Valorization of renewable and natural resources -Waste recycle and valorization -Circular economy (food waste, hazardous waste, municipal waste, plastic waste) -CO 2 utilization -Alternative and benign chemical processes (microwaves, ultrasounds, photochemistry, electrochemistry, flow chemistry, etc.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.271 | 0.147 |
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".