Bibliographic record
Abstract
Some of 2021 nanoforums: ANM, ICANM, IMS, GTU nano, and HMT. / L. Chkhartishvili. – 2021–2022. – # 21/22. – pp. 309-322. – geo. There are given chronicles for five 2021 nanoforums: 17th International Conference on Advanced Nanomaterials, 2021 July 22 – 24, Aveiro, Portugal (ANM 2021); 8th International Conference and Exhibition on Advanced and Nanomaterials, 2021 August 9 – 11, Ottawa, Canada (ICANM 2021); 4th International Conference “Modern Technologies and Methods of Inorganic Materials Science”, 2021 September 20 – 21, Tbilisi, Georgia (IMS 2021); 6th International Conference “Nanotechnology” 2021 October 4 – 7, Tbilisi, Georgia (GTU nano 2021); and 7th International Materials Science Conference High Mat Tech, 2021 October 5 – 7, Kyiv, Ukraine (HMT 2021). Fig. 29.
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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 | 0.002 |
| 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 | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.544 | 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".