Aleochara (Tinotus) caviceps NB, ON, QC
Bibliographic record
Abstract
4. Aleochara (Tinotus) caviceps (Casey) (Illustrations in Klimaszewski et al. 2002b, 2018), Table 1 References. Casey 1893. Klimaszewski et al. 2002, 2018. Brunke et al. 2012. Webster et al. 2016. Distribution. Nearctic. Canada: NB, ON, QC. USA: AZ, IA, ID, IN, MT, NH (NSR), NJ, NV, NY, PA. Collection and Habitat data. Specimens were captured from July to August in NH using a FIT, and by sifting forest litter. In Canada, adults were taken in a mixed forest area from a pitfall trap, and from moist grass litter in a small sedge marsh. One specimen was taken by a Luminoc pit-light trap, and others in hedgerows beside a soybean field (Brunke et al. 2012, Klimaszewski et al. 2018). Material. USA, New Hampshire, Coos Co.: 1 mi NE East Inlet Dam, 25.VII–7.VIII.1986, D.S. Chandler, FIT, 1 female. Grafton Co.: Bedell Bridge St. Park @ Oliverian Brook, Haverhill, 2.X.1991, D.S. Chandler, sift forest litter, 1 female.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.027 | 0.008 |
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".