<i>Fomes fomentarius</i> . [Descriptions of Fungi and Bacteria].
Bibliographic record
Abstract
Abstract A description is provided for Fomes fomentarius . Sporophores of this fungus are found on both living and dead trees, where the fungus causes a decay of heartwood. Some information on its associated organisms and substrata, dispersal and transmission, habitats and conservation status is given, along with details of its geographical distribution (Africa (São Tomé and Principe, Somalia, Tunisia), Asia (Azerbaijan, China (Hong Kong), Cyprus, Georgia, India (Himachal Pradesh, Jammu & Kashmir, Karnataka, Meghalaya, Sikkim, Tamil Nadu, Uttarakhand, Uttar Pradesh, West Bengal), Iran, Japan, Kazakhstan (Akmola, Aktobe, Almaty, East Kazakhstan, Kostanay, North Kazakhstan, Pavlodar, South Kazakhstan, West Kazakhstan), Kyrgyzstan, Mongolia, Nepal, North Korea, Pakistan, Russia (Altai Krai, Altai Republic, Buryatia, Chelyabinsk Oblast, Irkutsk Oblast, Khabarovsk Krai, Novosibirsk Oblast, Primorsky Krai, Sakha Republic, Sakhalin Oblast, Tyumen Oblast, Zabaykalsky Krai), South Korea, Tajikistan, Turkey, Uzbekistan), Central America (Panama), Atlantic Ocean (Portugal (Madeira)), Europe (Andorra, Austria, Belarus, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Ireland, Italy, Kosovo, Latvia, Luxembourg, Moldova, Netherlands, Norway, Poland, Portugal, Romania, Russia (Komi Republic, Krasnodar Krai, Moscow Oblast, Nizhny Novgorod Oblast, Orenburg Oblast, Republic of Karelia, Saratov Oblast, Voronezh Oblast), Serbia, Slovakia, Slovenia, Spain, Sweden, Switzerland, Ukraine, UK), North America (Canada (Alberta, British Columbia, Manitoba, New Brunswick, Newfoundland and Labrador, Ontario, Quebec, Saskatchewan), USA (Alabama, Alaska, California, Connecticut, District of Columbia, Florida, Idaho, Iowa, Kentucky, Maine, Massachusetts, Michigan, Minnesota, Montana, Nebraska, New Hampshire, New Jersey, New York, North Carolina, Ohio, Oregon, Pennsylvania, Rhode Island, South Dakota, Tennessee, Vermont, Virginia, Washington, West Virginia, Wisconsin)), South America (Brazil (Minas Gerais, Santa Catarina), Chile)).
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How this classification was reachedexpand
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) | 0.007 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".