An Appraisal of Genus Riccia in India with a Note on Diversity and Distribution of Species
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
A review of Indian Riccia’s has been made and 36 valid species are accepted. 12 species viz., R. attenuata, R. ciliata, R. crispatula, R. crozalsii, R. curtisii, R. glauca, R. haskarliana, R. hirta, R. mangalorica, R. perssonii, R. stricta and R. warnstorfii are rare and found in restricted pockets of the country. Except Riccia abuensis and R. fluitans (aquatic species) all are terrestrial. Riccia poihaiana A.E.D.Daniels & P.Daniel is proposed to place under synonymy of R. billardieri Mont. & Nees. The occurrence of Riccia squamata, R. duplex and R. dictyospora recorded in Indian bryoflora is treated here doubtful. The notes on Riccia lucknowensis A.Gupta &Udar and R. nagalandensis D.D.Pant & Bhowmik ex S.K.Chaturv. & S.Chaturv. (both invalid species) are given. The taxonomy, diversity and distribution and notes wherever required are provided.
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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 | 0.001 | 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) | 0.000 | 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 it