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Record W4206544216 · doi:10.1079/dfb/20210499499

<i>Ganoderma applanatum</i> . [Descriptions of Fungi and Bacteria].

2021· article· en· W4206544216 on OpenAlexaboutno aff
D. W. Minter, G. S. Soliman

Bibliographic record

VenueDescriptions of Fungi and Bacteria · 2021
Typearticle
Languageen
FieldMedicine
TopicFungal Biology and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsGeographySocioeconomicsEnvironmental protection

Abstract

fetched live from OpenAlex

Abstract A description is provided for Ganoderma applanatum . Sporophores of this fungus are found on both living and dead trees, where the fungus causes a decay of heartwood resulting in a white soft spongy heart and butt rot. 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 (Angola, Benin, Congo, Democratic Republic of the Congo, Equatorial Guinea, Ivory Coast, Kenya, Madagascar, Morocco, Mozambique, São Tomé and Principe, Sierra Leone, South Africa, Sudan, Tanzania, Togo), Asia (Azerbaijan, Brunei Darussalam, China (Anhui, Fujian, Gansu, Guangdong, Guangxi, Guizhou, Hainan, Hebei, Heilongjiang, Henan, Hong Kong, Hunan, Jiangsu, Jiangxi, Jilin, Nei Mongol Autonomous Region, Qinghai, Shaanxi, Shanxi, Sichuan, Xinjiang, Yunnan, Zhejiang), Christmas Island, Cyprus, Georgia, India (Assam, Chhattisgarh, Gujarat, Himachal Pradesh, Jammu &amp; Kashmir, Karnataka, Kerala, Madhya Pradesh, Maharashtra, Meghalaya, Orissa, Punjab, Rajasthan, Uttarakhand, Uttar Pradesh, West Bengal), Indonesia, Iran, Israel, Japan, Kazakhstan (Almaty, East Kazakhstan, Kostanay, South Kazakhstan), Laos, Malaysia, Nepal, North Korea, Oman, Pakistan, Papua New Guinea, Philippines, Russia (Altai Krai, Altai Republic, Irkutsk Oblast, Kamchatka Krai, Kemerovo Oblast, Khanty-Mansi Autonomous Okrug, Krasnoyarsk Krai, Novosibirsk Oblast, Omsk Oblast, Primorsky Krai, Sakha Republic, Sverdlovsk Oblast, Tomsk Oblast, Tyumen Oblast, YamaloNenets Autonomous Okrug), Singapore, South Korea, Sri Lanka, Taiwan, Tajikistan, Thailand, Turkey, Uzbekistan, Vietnam), Australasia (Australia (Australian Capital Territory, New South Wales, Northern Territory, Queensland, South Australia, Tasmania, Victoria, Western Australia), New Zealand), Caribbean (American Virgin Islands, British Virgin Islands, Cuba, Dominican Republic, Guadeloupe, Haiti, Jamaica, Puerto Rico, Trinidad and Tobago), Central America (Belize, Costa Rica, El Salvador, Guatemala, Honduras, Nicaragua, Panama. Europe: Austria, Belarus, Belgium, Bulgaria, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Ireland, Isle of Man, Italy, Latvia, Lithuania, Luxembourg, Netherlands, Norway, Poland, Portugal, Republic of North Macedonia, Romania, Russia (Arkhangelsk Oblast, Belgorod Oblast, Bryansk Oblast, Chuvash Republic, Ivanovo Oblast, Kaliningrad Oblast, Kaluga Oblast, Kirov Oblast, Kostroma Oblast, Krasnodar Krai, Kursk Oblast, Leningrad Oblast, Mari El Republic, Moscow Oblast, Nizhny Novgorod Oblast, Orenburg Oblast, Oryol Oblast, Penza Oblast, Perm Krai, Pskov Oblast, Republic of Bashkortostan, Republic of Tatarstan, Samara Oblast, Smolensk Oblast, Tula Oblast, Tver Oblast, Udmurt Republic, Vladimir Oblast, Vologda Oblast, Voronezh Oblast, Yaroslavl Oblast), Serbia, Slovakia, Slovenia, Spain, Sweden, Switzerland, Ukraine, UK), Indian Ocean (Seychelles. North America: Canada (Alberta, British Columbia, Manitoba, New Brunswick, Newfoundland and Labrador, Northwest Territories, Nova Scotia, Ontario, Prince Edward Island, Quebec, Saskatchewan), Mexico, USA (Alabama, Alaska, Arizona, Arkansas, California, Colorado, Connecticut, Delaware, District of Columbia, Florida, Georgia, Idaho, Illinois, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Montana, Nebraska, New Hampshire, New Jersey, New Mexico, New York, North Carolina, North Dakota, Ohio, Oklahoma, Oregon, Pennsylvania, Rhode Island, South Carolina, South Dakota, Tennessee, Texas, Utah, Vermont, Virginia, Washington, West Virginia, Wisconsin, Wyoming)), Pacific Ocean (American Samoa, Cook Islands, Federated States of Micronesia, Fiji, French Polynesia, Guam, Marshall Islands, Samoa, Tuvalu, USA (Hawaii)), South America (Argentina, Bolivia, Brazil (Acre, Alagoas, Amapá, Amazonas, Bahia, Espírito Santo, Minas Gerais, Pará, Paraíba, Paraná, Pernambuco, Rio de Janeiro, Rio Grande do Sul, Rondônia, Roraima, Santa Catarina, São Paulo), Chile, Colombia, Ecuador, French Guiana, Peru, Suriname, Uruguay, Venezuela)).

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.744
Threshold uncertainty score0.694

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.016
GPT teacher head0.241
Teacher spread0.224 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2021
Admission routes1
Has abstractyes

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