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Record W4206212276 · doi:10.1079/dfb/20220008171

Inonotus obliquus. [Descriptions of Fungi and Bacteria].

2022· article· en· W4206212276 on OpenAlexaboutno aff
D. W. Minter, G. S. Soliman

Bibliographic record

VenueDescriptions of Fungi and Bacteria · 2022
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicLichen and fungal ecology
Canadian institutionsnot available
Fundersnot available
KeywordsGeographyArchaeologyEnvironmental protectionForestry

Abstract

fetched live from OpenAlex

Abstract A description is provided for Inonotus obliquus , which forms black circular or irregular brittle charcoal- or clinker-like crusts or conks, breaking out of bark on trunks of living trees, particularly Betula species. Some information on its dispersal and transmission and conservation status is given, along with details of its geographical distribution (Greenland, Armenia, China (Shanxi), India (Uttarakhand) Iran, Japan, Kazakhstan (Almaty, East Kazakhstan, Kostanay, West Kazakhstan), Mongolia, Nepal, Russia (Altai Krai, Amur Oblast, Kamchatka Krai, Khanty-Mansi Autonomous Okrug, Krasnoyarsk Krai, Novosibirsk Oblast, Omsk Oblast, Primorsky Krai, Republic of Altai, Sakhalin Oblast, Sverdlovsk Oblast, Tomsk Oblast, Tyumen Oblast, Yamalo-Nenets Autonomous Okrug), Sri Lanka, Uzbekistan, Austria, Belarus, Bulgaria, Czech Republic, Denmark, Estonia, Finland, France, Germany, Hungary, Ireland, Italy, Latvia, Lithuania, Netherlands, Norway, Poland, Romania, Russia (Arkhangelsk Oblast, Bryansk Oblast, Chuvash Republic, Ivanovo Oblast, Kaliningrad Oblast, Kaluga Oblast, Kirov Oblast, Komi Republic, Kostroma Oblast, Kursk Oblast, Leningrad Oblast, Moscow Oblast, Murmansk Oblast, Nizhny Novgorod Oblast, Novgorod Oblast, Orenburg Oblast, Pskov Oblast, Republic of Bashkortostan, Republic of Karelia, Republic of Mordovia, Republic of Tatarstan, Smolensk Oblast, Tula Oblast, Tver Oblast, Udmurt Republic, Ulyanovsk Oblast, Vladimir Oblast, Vologda Oblast, Voronezh Oblast, Yaroslavl Oblast), Slovenia, Spain, Sweden, Ukraine, UK, Canada (Alberta, British Columbia, Manitoba, New Brunswick, Newfoundland and Labrador, Northwest Territories, Nova Scotia, Ontario, Prince Edward Island, Quebec, Saskatchewan, Yukon), USA (Alabama, Alaska, Connecticut, Florida, Idaho, Indiana, Kansas, Kentucky, Louisiana, Maine, Massachusetts, Michigan, Minnesota, Mississippi, Montana, New Hampshire, New Jersey, New York, North Carolina, Ohio, Pennsylvania, Rhode Island, South Carolina, Tennessee, Vermont, Virginia, Washington, West Virginia, Wisconsin)) and hosts ( Betula spp. and Alnus spp.).

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 categoriesInsufficient payload (model declined to judge)
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 score0.951
Threshold uncertainty score0.998

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)0.0030.000

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 head0.019
GPT teacher head0.198
Teacher spread0.179 · 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.

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

Citations0
Published2022
Admission routes1
Has abstractyes

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