Bibliographic record
Abstract
Ozodiceromyia Bigot Ozodiceromyia is a Nearctic and Neotropical genus whose species range from southern Canada to Ecuador (Webb et al. 2013). It is the most species-rich therevid genus in the Americas with many undescribed species (Gaimari & Webb 2009); there are six new species from British Columbia, none of which are known in the Yukon or Alaska. Stephen Gaimari (pers. comm.) notes that O. platancala (Loew) occurs in Alberta and may range into BC, but this has not been verified. The genus name is often misspelled in the literature as “ Ozodiceromya ”. Ozodiceromyia costalis (Loew) was misidentified in the RBCM database and was included in Cannings (2018). Ozodiceromyia levigata (Loew) has been commonly reported from the province but appears to have been misidentified; these specimens represent other closely related, undescribed species widespread in southern British Columbia (Stephen Gaimari, pers. comm.). Localities include Ashcroft, Chilcotin, Clinton, Dog Creek, Gang Ranch, Kamloops, Osoyoos, Penticton, Vaseux Creek, Vernon, Victoria, and Walhachin (BMNH, CNCI, INHS, LACM, MEI RBCM, SEM, USNM). Gaimari & Webb (2009) note that species live in diverse environments from dune systems and deserts to a wide range of forest ecosystems, from shrub steppe and savannas to grasslands. Adults have been collected from shrubs covered in aphid honeydew (Irwin & Lyneborg 1980).
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 | 0.000 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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".