Enchytraeus buchholzi Vejdovsky 1879, sensu lato
Bibliographic record
Abstract
Enchytraeus buchholzi Vejdovský, 1879 sensu lato (T, F) Enchytraeus florentinus Bell, 1947. Enchytraeus polonicus Dumnicka, 1977. Enchytraeus buchholzi Vejdovský, 1879; Nielsen & Christensen 1959; Dash 1970; Chalupský 1992; Rota & Healy 1994; Rota 1995; Schmelz et al. 2005; Chen 2009; Schmelz & Collado 2010; Shen 2012; Chen et al. 2022; Hong & Dózsa-Farkas 2018; Dózsa-Farkas 2019. Distribution and habitat. Not in strongly acidic soils. Widespread, very common in Europe (Schmelz & Collado 2010; Dózsa-Farkas 2019). Argentina, Peru, Bolivia, Venezuela (Christoffersen 2009). Korea (Hong & Dózsa-Farkas 2018), Canada (Dash 1970), Japan (Nakamura 1978), Russia (Degtyarev et al. 2020; 2022; 2023); probably cosmopolitan. Distribution in China. Jilin Province (Chen 2009; Shen 2012); Guizhou Province (Chen et al. 2022). New records. Yunnan Province, the soil of Xishan forest park in Kunming, 24°57′18.67’N, 102°38′19.31’E, 2500 m asl, leg. Y. Ge, 10. 2019; Gansu Province, moist grassland soil near a river, 37°33′12.41’N, 102°0′25.76’E, 367 m asl, leg. Y. Ge, 08. 2020; Guangxi Zhuang Autonomous Region, Yunjiang Town, 109°43′58.44”E, 24°08′14.89”N; 94 m asl, leg. Z. Xie, Z. Liu, Y. Mo and J. Chen, 04. 2021; Jiangsu Province, the soil near the Jincang lake, 121°5′42.66"E, 31°30′41.80"N; 7 m asl, leg. Z. Xie, Z. Liu, Y. Mo and J. Chen, 05. 2021. Xinjiang Uygur Autonomous Region, no detailed information available.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.020 | 0.005 |
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".