Guest Editorial, Petr Zuman 90th Birthday Issue
Bibliographic record
Abstract
This issue of Electroanalysis is dedicatedt oP rofessor Petr Zuman on the occasion of his 90th birthday.P etr was born in the beautiful city of Prague in former Czechoslovakia, now the Czech Republic,o nJ anuary 13, 1926.Petr'ss econdary school education ocurred under the trying conditions oft he World WarI I, when the Czech countries were occupied from1 939-45.In that time,P etr'sf ather was sent in ac oncentration camp,a nd later so was Petr himself.After the war, Petre nrolled in Charles University in Prague to pursue his love of chemistry,a nd graduated in 1948.He then joined the research groupo fN obel Prize winner J. Heyrovsky at the same University and was awarded aP h.D.i n1 950.In that time Prof.H eyrovsky selected him and other five young scientists to create Polarographic Institute of the Czechoslovak Academyo f Sciences.H ew orked there from 1950 to 1966 as ah ead of the groupo fO rganic Polarography and became am ajor influence on that newly developing area of research.Due
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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 | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.008 | 0.010 |
| Insufficient payload (model declined to judge) | 0.094 | 0.069 |
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".