Pherbellia nana nana (Fallén 1820
Bibliographic record
Abstract
nana nana (Fallén), 1820: 15 (Sciomyza) [Johnson 1925: 250] ST: 1♂ 1♀ Sweden, Esperöd. NHRS, unnumbered DIST: MEXICO (Baja California; Ciudad de México; Puebla: Huachinango; Tamaulipas). Also CANADA and UNITED STATES. The nominate subspecies, Ph. nana reticulata (Thomson), occurs throughout Europe. Map: Bratt et al. 1969 FIGS: Wulp 1897 (wing), Cresson 1920 (head, wing), Fisher & Orth 1983 (♂ terminalia), Foote et al. 1999 (wing), Foote & Keiper 2004 (habitus, wing), Knutson & Vala 2011 (wing), this paper (dorsal head) BIOL: Bratt et al. 1969. BG: 2; PG: 1 HOSTS/PREY OF LARVAE: In North America and Europe: freshwater (seven genera) and terrestrial (four genera) pulmonate snails [larvae and puparia in Galba humilis, Gyraulus parvus, Physa sp., and Stagnicola elodes (Bratt et al. 1969)] IMMATS: Bratt et al. 1969 (E, L1–L3, P) CHR: Boyes et al. 1969 (karyotype) MOL_DAT: Y transducta Walker, 1861: 320 (Sciomyza) [Steyskal 1965b: 686] HT:? “ United States.” NHMUK, unnumbered
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.019 | 0.008 |
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".