Fejér vármegye és környékének nappali lepkéi (Lepidoptera: Rhopalocera) The Butterflies of Fejér County, Hungary
Bibliographic record
Abstract
The author has been observing butterflies and collecting data in Fejér County (Central Hungary) and its neighbouring areas since the late 1980s. So far, 133 butterfly species have been recorded in the county, 124 of which have been found during the author’s research and the observations of other lepidopterologists. Three species: Lampides boeti-cus, Leptotes pirithous and Lycaena alciphron have been observed in Fejér county for the first time. Two strictly protected species occur within the examined area: Colias chrysotheme and Apatura metis, while the third one, Coenonympha oe-dippus was last found more than 100 years ago. Euphydryas aurinia and Maculinea nausithous used to be very rare or unknown species to Fejér County, but have expanded their areas cosiderably in the last twenty years. In the examined area there are remarkable populations of Spialia orbifer, Parnassius mnemosyne, Pieris ergane, Colias chrysotheme, Maculinea nausithous, Euphdyras aurinia, Hipparchia semele and Chazara briseis.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".