Bibliographic record
Abstract
Abstract A description is provided for Calycina herbarum . Some information on its associated organisms and substrata, dispersal and transmission, economic impacts, habitats and conservation status is given, along with details of its geographical distribution (Africa (Morocco, Sao Tome and Principe), North America (Canada (British Columbia, Newfoundland and Labrador, Ontario, Quebec), USA (Arizona, California, Colorado, Idaho, Illinois, Indiana, Iowa, Maine, Massachussetts, Michigan, Minneapolis, Montana, New Hampshire, New Jersey, New York, North Carolina, North Dakota, Ohio, Oregon, Pennsylvania, South Carolina, Texas, Utah, Washington, West Virginia, Wyoming)), South America (Argentina, Brazil (Rio Grande do Sul), Chile, Colombia), Asia (Armenia, Azerbaijan, China (Anhui, Beijing, Qinghai), Republic of Georgia, India (Himachal Pradesh, Uttarakhand), Japan, Kazakhstan (Almaty Oblast, East Kazakhstan), Nepal, Philippines, Russia (Kamchatka Krai, Khabarovsk Krai, Khanty-Mansi Autonomous Okrug, Primorsky Krai, Sakhalin Oblast), South Korea, Turkey), Australasia (Australia (Victoria)), Europe (Andorra, Austria, Belarus, Belgium, Czech Republic, Denmark, Estonia, Finland, France, Germany, Hungary, Ireland, Italy, Lithuania, Netherlands, Norway, Poland, Romania, Russia (Leningrad Oblast, Moscow Oblast, Smolensk Oblast), Serbia, Slovakia, Slovenia, Spain, Sweden, Switzerland, Ukraine, UK)).
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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) | 0.001 | 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".