Bibliographic record
Abstract
Phymatodes dimidiatus (Kirby) (Figs 10, 11) Callidium kalmii Schoenherr, 1817:422. Type locality: Canada. NHRS Callidium dimidiatum Kirby, 1837:137. Type locality: Canada. BMNH Clytus palliatus Haldeman, 1847:41. Type locality: Massachusetts, USA. MCZC Phymatodes dimidiatus, LeConte, 1850:33 Phymatodes mannerheimi LeConte, 1857:60. Type locality: Washington, USA. MCZC Phymatodes kalmii, Aurivillius, 1912:350 Phymatodes frosti Casey, 1924:240. Type locality: Maine, USA. USNM NEW SYNONYMY This species is widespread throughout boreal North America, from Alaska to the northeastern US, and south into the higher elevations of southern California and northern New Mexico. The species P. frosti Casey was not treated by Linsley (1964) and has not been listed in Monné et al. (2008), or any other catalogue. The type at the USNM is identical to P. dimidiatus. Phymatodes dimidiatus displays little regional variation, with the exception of populations in the Rocky Mountains of Colorado, which are entirely dark brown, superficially resembling P. lecontei Linsley (= P. grandis Casey). Specimens examined: 156, including the type of P. frosti and P. mannerheimi
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.018 | 0.004 |
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".