Bibliographic record
Abstract
242. Placusa tacomae Casey (Illustrations in Klimaszewski et al. 2018), Table 1 References. Casey 1893. Hatch 1957. Klimaszewski et al. 2001, 2011, 2016e, 2018, 2020, 2021. Webster et al. 2009. Majka et al. 2011. Distribution. Nearctic, recorded from A/S (Klimaszewski et al. 2021). Canada: AB, BC, NB, NF, NS, NT, ON, QC, SK, YT. USA: AK, AZ, CO, MA, ME, MN, NH (NSR), NY, VA, WA. Collection and Habitat data. Habitat for NH specimen not indicated; collecting date in July. In AK captured in various coniferous forests, some clearcut, and shrubby habitats such as rose and willow (Klimaszewski et al. 2021). In Canada recorded from various hardwood and coniferous forests (Webster et al. 2009). Adults found under bark of conifers: under bark of fire-killed red pine under bark of red spruce infested with D. rufipennis and P. rufipennis (NB), in bark of log pile of Pinus contorta; in galleries of Dendroctonus ponderosae and Ips pini (AB); collected in bark of Pinus contorta Dougl. ex Loud. (BC) (Webster et al. 2009, Majka et al. 2011, Klimaszewski et al. 2021). Material. USA, New Hampshire, Lee, 16.VII.1965, 1 female.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.043 | 0.016 |
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".