<i>Hypotrachyna sinuosa</i> . [Descriptions of Fungi and Bacteria].
Bibliographic record
Abstract
Abstract A description is provided for Hypotrachyna sinuosa , which is most often observed on living bark of shrubs and trees in moist, nutrient-poor, often montane ecosystems, being typically a species of temperate often oceanic or montane rainforest, or of tropical montane cloud forest. Some information on its associated organisms and substrata, habitat, dispersal and transmission, and conservation status is given, along with details of its geographical distribution (Africa (Botswana, Ethiopia, Kenya, South Africa, Tanzania, Uganda), North America (Canada (British Columbia), Mexico, USA (Alaska, California, Florida, North Carolina, Oregon, Tennessee, Washington)), Central America (Costa Rica, El Salvador, Guatemala), South America (Argentina, Bolivia, Brazil, Chile, Colombia, Ecuador, Falkland Islands, Venezuela), Asia (Bhutan, China (Hubei, Sichuan, Yunnan), India (Sikkim, West Bengal), Indonesia, Japan, Malaysia, Nepal, Papua New Guinea, Philippines, Russia (Altai Republic, Irkutsk Oblast, Krasnoyarsk Krai, Primorsky Krai, Republic of Buryatia, Republic of Khakassia, Yakutia), Taiwan), Atlantic Ocean (Portugal (Azores, Madeira), Spain (Canary Islands)), Australasia (Auckland Island, Australia (Tasmania, Victoria), Campbell Island, Macquarie Island, New Zealand), Caribbean (Cuba, Dominican Republic, Guadeloupe, Haiti, Jamaica), Europe (Austria, Belgium, Bosnia and Herzegovina, Czech Republic, France, Germany, Ireland, Italy, Norway, Poland, Portugal, Romania, Slovakia, Slovenia, Spain, Switzerland, Ukraine, UK), Indian Ocean (Réunion), Pacific Ocean (New Caledonia, USA (Hawaii))). With its production of physciosporin, this species is one of several found to contain secondary metabolites able to inhibit motility of lung cancer cells in humans. Other uses of this species have all been as ecological indicators.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| 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) | 0.012 | 0.008 |
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".