Bibliographic record
Abstract
172. Phanerota fasciata (Say) (Illustrations in Klimaszewski et al. 2018), Table 1 References. Say 1832. Casey 1906. Seevers 1951. Brunke et al. 2012. Klimaszewski et al. 2018. Distribution. Nearctic. Canada: ON. USA: AR, DC, FL, GA, IA, IL, IN, KY, KS, LA, MA (NSR), MD, MI, MO, MS, NC, NH (NSR), NJ, NY, OH, OK (NSR), PA, RI, TN, TX, VA, WI. Collection and Habitat data. The MA, NH, and OK specimens were found on fungi, and in leaf litter on a lake margin. Collected by a baited funnel trap and by sifting forest litter; in NH taken from August to October. In Canada recorded from a mixed forest in gilled mushrooms (Klimaszewski et al. 2018). Material. USA, Massachusetts, Middlesex Co.: Groton, Spencer Circle, 7.VIII.2008, T. Murray, 2 females. New Hampshire, Strafford Co.: Durham, 2.X.1987, W.J. Morse, on fungus, 1 female. Lee, Little River Park, 43.11866, -71.01707, 11.VIII.2021, M.F. DiGirolomo, ex. funnel trap, EtOH & α-pinene, 1 sex? (MFDC). New York, Suffolk Co.: Wyandanch, L (ong) I(sland), 29.VIII.1915, F.M. Schott, 2 males, 1 female. Kings Co.: Flatbush, L.I., 29.IX.1913, F. M. Schott, 1 female. Oklahoma, Latimer Co.: Robbers Cave St. Pk., Lost Lake, 3.VIII.1987, D.S. Chandler and K. Stephan, sift leaf litter on lake margin, 2 females.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.069 | 0.050 |
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".