<i>Myriospora smaragdula</i> . [Descriptions of Fungi and Bacteria].
Bibliographic record
Abstract
Abstract A description is provided for Myriospora smaragdula , a lichen-forming fungus occurring on rocks including, and perhaps particularly, those rich in copper, iron or lead. 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 (Morocco), Arctic Ocean (Greenland, Norway (Svalbard and Jan Mayen)), Asia (Armenia, China (Hong Kong, Xinjiang), India (Himachal Pradesh, Jammu & Kashmir, Uttarakhand), Japan, Pakistan, Russia (Altai Republic, Chukotka Autonomous Okrug, Kemerovo Oblast, Khanty-Mansi Autonomous Okrug, Kamchatka Krai, Krasnoyarsk Krai, Magadan Oblast, Republic of Khakassia, Republic of Tuva, Yamalo-Nenets Autonomous Okrug), South Korea, Taiwan, Turkey), Atlantic Ocean (Portugal (Azores)), Australasia (Australia (ACT, South Australia, Western Australia)), Europe (Austria, Bosnia and Herzegovina, Channel Islands, Czech Republic, Denmark, Faroe Islands, Finland, France, Germany, Hungary, Iceland, Ireland, Isle of Man, Italy, Netherlands, Norway, Poland, Portugal, Russia (Arkhangelsk Oblast, Kabardino-Balkarian Republic, Kaliningrad Oblast, Karachay-Cherkess Republic, Leningrad Oblast, Murmansk Oblast, Republic of Karelia, Stavropol Krai), Slovakia, Spain, Sweden, Switzerland, UK), North America (Canada (Alberta, New Brunswick, Newfoundland and Labrador, Northwest Territories, Nova Scotia, Nunavut, Ontario, Prince Edward Island, Quebec, Saskatchewan), Mexico, USA (Alaska, Arizona, California, Colorado, Connecticut, Idaho, Illinois, Indiana, Iowa, Kansas, Kentucky, Maine, Massachusetts, Michigan, Minnesota, Montana, Nebraska, Nevada, New Mexico, New York, North Dakota, Ohio, Oklahoma, Oregon, South Carolina, South Dakota, Texas, Utah, Vermont, Virginia, Washington, Wisconsin, Wyoming)), South America (Chile, Falkland Islands/Islas Malvinas, Peru)). This species has been shown to produce biologically active compounds and specialized secondary metabolites.
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 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) | 0.002 | 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".