The Ciidae (Coleoptera) of New Brunswick, Canada: New records and new synonyms
Bibliographic record
Abstract
The Ciidae of New Brunswick, Canada are reviewed. Seventeen species are recorded for New Brunswick, including the following 10 species that are newly recorded for the province: Ceracis singularis (Dury), Ceracis thoracicornis (Ziegler), Cis angustus Hatch, Cis fuscipes Mellié, Cis horridulus Casey, Cis striatulus Mellié, Dolichocis laricinus (Mellié), Malacocis brevicollis (Casey), Orthocis punctatus (Mellié), and Plesiocis cribrum Casey. Additional locality data are provided for the following species previously known from the province: Cis americanus Mannerheim, Cis creberrimus Mellié, Cis levettei (Casey), Cis submicans Abeille de Perrin, Dolichocis manitoba Dury, Hadreule elongatula (Gyllenhal), and Octotemnus glabriculus (Gyllenhal). Seven synonyms are proposed here; Cis pistoria Casey with Cis submicans Abeille de Perrin; Cis fraternus Casey, Cis macilentus Casey and Cis striolatus Casey with Cis striatulus Mellié; Dolichocis indistinctus Hatch with Dolichocis laricinus (Mellié); and Octotemnus denudatus Casey and Octotemnus laevis Casey with Octotemnus glabriculus (Gyllenhal). Lindgren funnel traps provided the majority of specimens for 15 of the 17 species reported from New Brunswick and were the sole source of specimens for seven of the 10 species newly reported here, suggesting they are a very useful tool for sampling Ciidae in the forests of New Brunswick.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.008 | 0.016 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".