Data from: Lichen biodiversity and ecology in the San Bernardino and San Jacinto Mountains in southern California (U.S.A.)
Bibliographic record
Abstract
San Bernardino National Forest in southern California encompasses two major mountain ranges, the San Bernardino Mountains and the San Jacinto Mountains. Here 414 taxa of lichenized fungi are reported from San Bernardino National Forest as a whole; 327 from the San Jacinto Mountains (including the Santa Rosa Mountains), and 289 from the San Bernardino Mountains. Two species new to science are described: Lecanora remota and Lecidea stratura. Two undescribed taxa of Bellemerea and Scytinium are reported, both currently under study. Five species are reported new for North America and California: Gloeoheppia rugosa, Lecanora formosa, Peccania cernohorskyi, P. corallina and Psorotichia vermiculata. Peccania cernohorskyi is also reported new for Canada (British Columbia). Eight species are reported new for California: Caloplaca diphasia, C. isidiigera, Peltigera extenuata, Rhizocarpon simillimum, Rinodina lobulata, R. terrestris, Sarcogyne squamosa, and Xylographa difformis. Lecidea xanthococcoides is recognized as a synonym of Lecanora cadubriae. The California endemic Lecidea kingmanii is reported as producing 4-0-demethylplanaic acid. Polysporina simplex is treated as Acarospora simplex and P. urceolata as A. urceolata. The new combination Acarospora gyrocarpa is proposed for Polysporina gyrocarpa.
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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 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".