Bibliographic record
Abstract
Podisus placidus Uhler, 1870 New state record: Louisiana: Winn Par.: Winnfield, 12-V-1918, G. R. Pilate, det. Phillips (1♀ UMMZ). Montana: Flathead Co.: LaSalle, 5-VI-1944, William L. Jellison, det. Phillips (1♀ UMMZ). Oregon: Benton Co.: Sulphur Springs, 6 mi. N. Corvallis, 8-X-1962 [or 10-VIII-1962], [no collector] (1♀ UMMZ). Pennsylvania: Allegheny Co.: Pittsburgh, det. Phillips (1♀ DAR). Washington Co.: Canonsburg, Mount Elain, 21–23-IX-1920, G. A. Akerlind, det. Phillips (1♂ UMMZ). Distribution: Canada: AB, BC, MB (Walley 1929), NB (Roch 2020), NS (Roch 2020), ON, QC, SK (Maw et al. 2000). United States: AR, CA (Dahlsten 1967), CO, CT (Parshley 1917, 1923a; O’Donnell & Schaefer 2012), IA, ID, IL, LA, MA, ME, MI, MN (Hart 1919, Rider 2012, Koch et al. 2014), MO, MT, ND (Rider 2012), NE, NH (Parshley 1917, Roch 2020), NJ, NM (Bundy 2012), NY, OH, OK (Arnold & Drew 1988), OR, PA, SD (Harris 1937), UT, WA (Zack et al. 2012), WI (Williams 2004). Comments: Phillips (1983), in her unpublished dissertation, among other records, provided locality data that confirms the above listed records from Manitoba, Connecticut, Louisiana, Minnesota, Montana, New Hampshire, North Dakota, Oklahoma, Oregon, Pennsylvania, South Dakota, Washington, and Wisconsin; she also listed the following states that would constitute new state records: Indiana, Kansas, Vermont, and Wyoming.
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 | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 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; 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".