Bibliographic record
Abstract
] Muller, J. 2014. Moosflora des Parks Sanssouci in Potsdam. Verhandlungen des Botanischen Vereins von Berlin und Brandenburg 147: 157–184. Muster, C., G. Gaudig, M. Krebs & H. Joosten. 2015. Sphagnum farming: the promised land for peat bog species? Biodiversity and Conservation 24(8): 1989–2009. Na, Y., S. R. Manchester, C. Sun & S. Zhang. 2015. The Middle Jurassic palynology of the Daohugou area, Inner Mongolia, China, and its implications for palaeobiology and palaeogeography. Palynology 39(2): 270–287. Nelson, G., P. W. Sweeney, L. E. Wallace, R. K. Rabeler, D. Allard, H. Brown, J. R. Carter, M. W. Denslow, E. R. Ellwood, C. C. Germain-Aubrey, E. Gilbert, E. Gillespie, L. R. Goertzen, B. S. Legler, D. B. Marchant, T. D. Marsico, A. B. Morris, Z. E. Murrell, M. Nazaire, C. Neefus, S. Oberreiter, D. Paul, B. R. Ruhfel, T. Sasek, J. Shaw, P. S. Soltis, K. Watson, A. Weeks & A. R. Mast. 2015. Digitization workflows for flat sheets and packets of plants, algae, and fungi. Applications in Plant Sciences 3(9): 1500065 [1–9]. Nelson, J. M. 2015. [Abstract] Interactions of the liverwort Marchantia polymorpha with its fungal endophytes. Page 72. In: Botany 2015: Science and Plants for People. Abstracts. July 25–29, 2015, Edmonton Alberta Canada. Nemeth, Cs. 2008. Contributions to the bryophyte flora of SuriBakonyalja, Bakony and Vertes Mts (NW Hungary). Flora Pannonica 6: 79–87. [In Hungarian with English abstract.] Nemeth, Cs. 2009. Data on the distribution of Dicranum tauricum Sapjegin in Hungary. Flora Pannonica 7: 51–55. [In Hungarian with English abstract.] Nilsson, S. 2015. Rapport fran Projekt Skanes mossor varen 2015. Myrinia 25(1): 56–60. [In Swedish with English summary.] Nishihama, R., K. Ishizaki, M. Hosaka, Y. Matsuda, A. Kubota & T. Kohchi. 2015. Phytochrome-mediated regulation of cell division and growth during regeneration and sporeling development in the liverwort Marchantia polymorpha. Journal of Plant Research 128(3): 407–421. Norden, B., A. Gardiennet, J.-P. Priou & P. Dobbeler. 2015. Bryocentria hypothallina (Hypocreales) — a new species on Metzgeria furcata. Ascomycete.org 7(4): 121–124. Novotný, I. & R. Mudrova. 2015. Ecology and distribution of the rare copper moss Streptocolea atrata (Bryopsida, Grimmiaceae) in the Czech Republic. Acta Musei Silesiae, Scientiae Naturales 64(1): 23–26. Nydahl, A. C., C. K. King, J. Wasley, D. F. Jolley & S. A. Robinson. 2015. Toxicity of fuel-contaminated soil to Antarctic moss and terrestrial algae. Environmental Toxicology and Chemistry 34(9): 2004–2012. Buck & Atwood: Recent literature on bryophytes 101
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 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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.008 | 0.014 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.019 | 0.008 |
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".