Trichopepla atricornis Stal 1872
Bibliographic record
Abstract
Trichopepla atricornis Stål, 1872 Distribution: Canada: AB, BC, MB (Uhler 1877, Walley 1929), NT (Uhler 1877), ON (Roch 2020), QC (Roch 2020), YK (Uhler 1877). United States: AK, CA, CO (Uhler 1877, Van Duzee 1917, McDonald 1976), IA (Osborn 1898; Stoner 1916, 1917, 1920; Hendrickson 1930), ID, IL, IN (Deay & Gould 1935), KS (Packauskas 2012), MI, MN (Rider 2012, Koch et al. 2014), MT, ND (Rider 2012), OH, OR, PA, UT, VT (Roch 2020), WA (Ruckes 1937), WI, WY (Blake 1945). Comments: Stoner’s (1917) record from Iowa was under the name Trichopepla semivittata, but this was a misidentification of this species (see Stoner 1920).
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.027 | 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; both teacher heads 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".