Rare Epiphytic Coastal Lichen Habitats, Modeling, and Management in the Pacific Northwest
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The ecological amplitudes, associated lichens, and substrates of fifteen regionally rare coastal epiphytic lichens (Bryoria pseudocapillaris, B. spiralifera, B. subcana, Erioderma sorediatum, Heterodermia leucomela, Hypotrachyna revoluta, Leioderma sorediatum, Leptogium brebissonii, Niebla cephalota, Pannaria rubiginosa, Pseudocyphellaria perpetua, Pyrrhospora quernea, Ramalina pollinaria, Teloschistes flavicans, and Usnea hesperina) in 85 randomly-selected and 49 purposively-selected 0.04 ha circular plots along a 5 km wide strip of Pacific coastline from San Francisco Bay to the U.S.-Canadian border are reported. Logistic regression, used to identify environmental variables most indicative of suitable habitat, indicated that small changes in climate and forest type strongly affected probability of occurrence for many species. Threats to coastal lichens, including climate change, are discussed. The findings can be used to aid discovery of additional populations and manage existing habitat.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it