Bibliographic record
Abstract
Dineutus hornii Roberts, 1895 Kings Co.: Woodville Mills, 16.IX.2002, C.G. Majka, beaver pond, (3, CGMC). Queens Co.: Hillsboro River, 22.VI.1981, V. Friesen, (7, UPEI). Dineutus hornii is newly recorded on Prince Edward Island. Species of Dineutus are found on the surface ponds, streams, lakes and rivers where they often form large rafts of individuals (Roughley 2000a). Roberts (1895, pp 284) described this species as Dineutus hornii, the specific epithet spelled with two “i’s”. Subsequently some authors (i.e. Leng 1920; Roughley 1991b; Laplante et al. 1991; Dearborn and Donahue 1993; Downie and Arnett 1996; Chandler 2001) dropped the second “i”, incorrectly spelling the name “ Dineutus horni ”. Accordingly the name Dineutus horni is designated as an incorrect subsequent spelling of Dineutus hornii Roberts, 1895 (Article 33.3, ICZN 1999).
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 | 0.001 |
| 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) | 0.017 | 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".