<i>Arcyria cinerea</i> . [Descriptions of Fungi and Bacteria].
Bibliographic record
Abstract
Abstract A description is provided for Arcyria cinerea , one of the most consistently abundant and widespread myxomycete species associated with lianas, aerial woody remnants, leaves and inflorescences in tropical and mangrove forests. Some information on its associated organisms and substrata, interaction and habitats, infraspecific variation, dispersal and transmission, and conservation status is given, along with details of its geographical distribution (AFRICA: Algeria, Angola, Burundi, Cameroon, Democratic Republic of the Congo, Egypt, Equatorial Guinea, Gambia, Kenya, Liberia, Madagascar, Malawi, Mayotte, Morocco, Mozambique, Nigeria, Rwanda, Sierra Leone, Somalia, South Africa, Tanzania, Tunisia, Uganda, Western Sahara, Zambia, Zimbabwe; NORTH AMERICA: Canada (Alberta, British Columbia, Manitoba, New Brunswick, Ontario, Quebec, Saskatchewan), Mexico, USA (Alaska, Arizona, Arkansas, California, Colorado, Connecticut, Delaware, 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, Tennessee, Texas, Vermont, Virginia, West Virginia); CENTRAL AMERICA: Belize, Costa Rica, El Salvador, Guatemala, Honduras, Nicaragua, Panama; SOUTH AMERICA: Argentina, Bolivia, Brazil (Alagoas, Amazonas, Bahia, Ceara, Mato Grosso, Minas Gerais, Paraiba, Parana, Pernambuco, Rio Grande do Norte, Rio Grande do Sul, Rondonia, Roraima, Santa Catarina, Sao Paulo, Sergipe), Chile, Colombia, Ecuador (including Galapagos), French Guiana, Guyana, Paraguay, Peru, Surinam, Venezuela; ANTARCTICA: Antarctica; ASIA: China (Anhui, Guangdong, Guangxi, Heilongjiang, Hong Kong, Jiangsu, Kwangtung, Yunnan), Christmas Island, Georgia, India (Assam, Chandigarh, Himachal Pradesh, Jammu & Kashmir, Karnataka, Madhya Pradesh, Maharashtra, Orissa, Uttarakhand, Uttar Pradesh, West Bengal), Indonesia, Iran, Japan, Kazakhstan (Aktobe, Atyrau, Pavlodar, West Kazakhstan), Laos, Nepal, Papua-New Guinea, Philippines, Russia (Altai Krai, Altai Republic, Chukotka Autonomous Okrug, Irkutsk Oblast, Khabarovsk Krai, Khanty-Mansi Autonomous Okrug, Krasnoyarsk Krai, Magadan Oblast, Primorsky Krai, Republic of Buryatia, Sakhalin Oblast, Tyumen Oblast, Yamalo-Nenets Autonomous Okrug), Singapore, Sri Lanka, Taiwan, Thailand, Turkey, Uzbekistan, Vietnam. Atlantic OCEAN: Ascension Island, Spain (Canary Islands); AUSTRALASIA: Australia (New South Wales, Northern Territory, Queensland, Tasmania, Victoria, Western Australia), New Zealand, Raoul Island; CARIBBEAN: American Virgin Islands, Antigua and Barbuda, Bahamas, Cuba, Dominica, Dominican Republic, Grenada, Guadeloupe, Haiti, Jamaica, Martinique, Puerto Rico, Trinidad & Tobago; EUROPE: Andorra, Austria, Belgium, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Iceland, Ireland, Italy, Lithuania, Luxembourg, Moldova, Netherlands, Norway, Poland, Portugal, Romania, Russia (Astrakhan Oblast, Chelyabinsk Oblast, Kalinigrad Oblast, Komi Republic, Krasnodar Krai, Kursk Oblast, Leningrad Oblast, Moscow Oblast, Murmansk Oblast, Orenburg Oblast, Perm Krai, Republic of Bashkortostan, Republic of Karelia, Rostov Oblast, Smolensk Oblast, Tver Oblast, Voronezh Oblast, Volgograd Oblast, Vologda Oblast), Slovakia, Slovenia, Spain, Sweden, Switzerland, Ukraine, UK; Indian OCEAN: Mauritius, Reunion, Seychelles; Pacific OCEAN: French Polynesia, New Caledonia, USA (Hawaii)).
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.018 | 0.014 |
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".