Impact on Content of Thick Albumen of Variety of Different Altfalfas of Applying Fertilizer is Old Great
Bibliographic record
Abstract
Analyse different to apply fertilizer to A WL232HQ,Ao Chinese alfalfa thick albumen influence of content, money of ridge and alfalfa of American, alfalfa of Canada, and different to apply fertilizer different alfalfa thick albumen difference of content under variety under the system,from analyse different to apply fertilizer to contrast difference indicate a best one apply fertilizer scheme 60 urea different variety.33kg/hm2, over calcium phosphate are 90.78kg/hm2,sulphuric acid potassium are132.00kg/hm2,the supreme content of thick albumem: American alfalfa WL232HQ is 22.20%, the ridge money is 21 in Canadian alfalfa A.21.863%, the Chinese alfalfa of AoHan is 20.098%, Learn American alfalfa WL232HQ in apply fertilizer thick albumen content high variety than other have under the terms while being the same kind of.
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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 | 0.000 |
| 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) | 0.003 | 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 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".