Bibliographic record
Abstract
A systematic long-term interest in hydrology of small basins has a long tradition in the Czech Republic. As well the Institute of Hydrodynamics ASCR has been dealt with this topic in the long term. Already fifth Conference Hydrology of a Small Basin 2014 (HSM2014) was held in Prague from 22nd to 24th April 2014. 122 participants took part in this Conference, nearly a quarter was from the Slovakia (28 participants). The Conference was traditionally organized by the IH ASCR, v.v.i., Czech Association of Scientific-Technical Societies and Czech National Committee for Hydrology in collaboration with Institute of Hydrology of Slovak Academy of Sciences and the Czech Hydrometeorological Institute. HSM2014 Conference was organized under the patronage of Czech Commission for UNESCO. During the Conference 50 oral presentations were performed and in the Conference Proceeding 92 full text contributions were published. This article brings a brief summary of contributions presented in the Conference.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.096 | 0.034 |
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".