<i>Thecotheus pelletieri</i> . [Descriptions of Fungi and Bacteria].
Bibliographic record
Abstract
Abstract A description is provided for Thecotheus pelletieri , which has been recorded on on dung of herbivorous mammals. Some information on its habitat, dispersal and transmission, and conservation status is given, along with details of its geographical distribution (North America (Canada (Ontario, Quebec), Mexico, USA (Florida, Iowa, Kansas, Massachusetts, Michigan, New Hampshire, New York, North Carolina, North Dakota, Ohio, Oregon, Tennessee, Virginia, Washington, Wisconsin)), Central America (Costa Rica), South America (Argentina, Brazil (Rio Grande do Sul), Colombia), Asia (China (Guangxi), India (Jammu and Kashmir, Himachal Pradesh, Uttar Pradesh, West Bengal), Japan, Russia (Sakhalin Oblast), Taiwan, Turkey), Atlantic Ocean (Bermuda, Portugal (Azores), Spain (Canary Islands)), Australasia (Australia (New South Wales, Queensland)), Caribbean (Dominica, Dominican Republic, Jamaica, Puerto Rico), Europe (Austria, Belgium, Bulgaria, Czech Republic, Denmark, Estonia, France, Germany, Greece, Hungary, Ireland, Italy, Lithuania, Luxembourg, Netherlands, Norway, Poland, Romania, Russia (Leningrad Oblast, Moscow Oblast), Serbia, Slovakia, Spain, Sweden, Ukraine, UK)). Cultures have been shown to produce cellulase and xylanase. No other evaluation has been made of any possible positive economic impact of this fungus (e.g. as a recycler, as a source of useful products, as a provider of checks and balances within its ecosystem, etc.). Also, no reports of negative economic impacts have been found.
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) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.022 | 0.011 |
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".