Bibliographic record
Abstract
Ayurveda is an ancient Indian system of medicine having eight important branches. Agadtantra is among oneof them which deals with Visha (poison) and its toxicological conditions and their management. AcharyaSusruta in Kalpa Sthana of Susruta Samhita, and Acharya Vagbhata in Uttaratantra of Ashtanga Hridaya,moreover in other classics and regional texts have recited concerning the origin of Visha and mooshikaVisha.There are eighteen types of Mooshika, signs and symptoms of their bite and its treatment is described bySushrutaacharya and Vaagbhataacharya. There are five modes of spread of Mooshika (rat) VISHA that areShukra[Semen], Purisha[Feaces], Mutra[Urine],Nakh [scratches by nails] and Dant[ bites with teeth ofMooshika] are poisonous. In case of Mooshika Visha, Dansha sthan [bite site] should be cauterized andRaktamokshana by blood letting should be done. After this various drugs paste should be applied on bite site.Various putrifictory therapies should be givene.g.Lepan, Vamana(Vomiting), Virechana(Purgation) Nasya(Nasalmedication), Anjana (Collyrium) etc. Various Kalpanas [drug preparations] like Sanskarit Ghrita[medicatedghee], Kwath [decoctions], Kalka[paste of drugs], Swarasa [juice of drugs] aremetionedwheresource of infection is rat treatment of Mooshika Visha can be given.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".