Bibliographic record
Abstract
The present study was undertaken to analyse the performance of the dairy sector in India by using compound growth rate analysis and to determine the trends observed in the parameters. It was observed that the compound growth rate of the livestock population was 0.89 per cent, positive and significant from 1956 to 2019. Buffalo population has shown a positive and significant growth rate of 1.43 per cent and 0.31 per cent for cattle and 1.58 per cent for goats. In comparison to indigenous cows, exotic or crossbred cows showed a greater significant growth rate of 5.14 per cent against 1.71 per cent. There has been observed a positive and significant compound annual growth rate of 4.71 per cent to milk production and 3.26 per cent for per capita availability. Dairy cooperative societies, producer members, milk procurement and liquid milk marketing showed a positive and significant compound annual growth rate of 3.47, 2.31, 7.78 and 6.04 per cent respectively. The compound annual growth rate of exports in quantity showed a positive rate of 14.24 per cent and imports with a negative growth rate of 9.70 over the period which indicates that India is a net exporter of dairy products.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".