Bibliographic record
Abstract
A dataset containing 2436 species occurrences available in GBIF matching the query: { "and" : [ "TaxonKey is one of (Apatura metis Frey, 1829, Astacus astacus (Linnaeus, 1758), Austropotamobius torrentium (von Paula Schrank, 1803), Austropotamobius torrentium (von Paula Schrank, 1803), Bolbelasmus unicornis (Schrank, 1789), Buprestis splendens Fabricius, 1775, Buprestis splendens Voet, 1806, Callimorpha Latreille, 1809, Callimorpha quadripunctaria (Poda, 1761), Paracossulus thrips Hübner, 1818, Cerambyx cerdo Linnaeus, 1758, Coenagrion ornatum (Selys, 1850), Cordulegaster heros Theischinger, 1979, Dioszeghyana schmidtii Diószeghy, 1935, Dioszeghyana schmidti Rákosy, 1996, Eriogaster catax (Linnaeus, 1767), Euphydryas Scudder, 1872, Euphydryas aurinia (Rottemburg, 1775), Euplagia quadripunctaria (Poda, 1761), Hirudo medicinalis Linnaeus, 1758, Hirudo verbana Carena, 1820, Hyles hippophaes Staudinger, 1874, Hyles hippophaes Esper, 1789, Lindenia tetraphylla (Vander Linden, 1825), Lucanus cervus (Linnaeus, 1758), Lycaena dispar (Haworth, 1803), Maculinea arion (Linnaeus, 1758), Morimus asper funereus Mulsant, 1862, Morimus asper funereus Ilic & Curcic, 2013, Morimus asper funereus Vukajlovic & Zivanovic, 2014, Morimus asper (Sulzer, 1776), Morimus funereus Mulsant, 1862, Ophiogomphus cecilia (Geoffroy, 1785), Ophiogomphus cecilia (Fourcroy, 1785), Osmoderma lassallei Baraud & Tauzin, 1991, Osmoderma barnabita Motschulsky, 1845, Osmoderma eremita (Scopoli, 1763), Osmoderma eremita (Scopoli, 1763), Papilio alexanor Esper, 1800, Paracaloptenus caloptenoides (Brunner von Wattenwyl, 1861), Parnassius apollo (Linnaeus, 1758), Parnassius mnemosyne (Linnaeus, 1758), Polyommatus eroides Frivaldsky, 1835, Probaticus subrugosus (Duftschmidt, 1812), Proserpinus proserpina Pallas, 1772, Pseudophilotes bavius (Ivirsmann, 1832), Pseudophilotes bavius (Eversmann, 1832), Rhysodes sulcatus (Fabricius, 1787), Rosalia alpina (Linnaeus, 1758), Rosalia alpina LeConte, 1852, Rosalia alpina Aurivillius, 1912, Rosalia alpina Brustel, Berger & Cocquempot, 2003, Rosalia alpina Lameere, 1887, Rosalia alpina Vuillet, 1911, Rosalia alpina Takakuwa, 1998, Stenobothrus eurasius Zubovski, 1898, Stenobothrus eurasius Zubovski, 1898, Stylurus flavipes (Charpentier, 1825), Unio crassus Retzius, 1788, Unio crassus Philipsson, 1788, Unio crassus Say, 1817, Unio elongatulus C.Pfeiffer, 1825, Unio pictorum (Linnaeus, 1758), Vertigo angustior Jeffreys, 1830, Vertigo moulinsiana (Dupuy, 1849), Zerynthia polyxena (Denis & Schiffermüller), 1775)", "Country is Greece", "HasCoordinate is true", "HasGeospatialIssue is false" ] } The dataset includes 2436 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008134-250525065834625/datasets/export for details. Data from some individual datasets included in this download may be licensed under less restrictive terms.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.005 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.007 | 0.010 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.381 | 0.486 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".