The impact of cultivar development and cultural practices on Louisiana rice yield
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
Abstract This analysis investigates the impact of cultivar development and cultural practices on Louisiana rice ( Oryza sativa L.) yield growth using the Chow test (Chow, 1960) in combination with regression analysis. The analysis examines the 1895–2019 period, and uses four scenarios in which one, two, three, and four subperiods show varying rates of rice yield growth in Louisiana. There has been a significant increase in Louisiana rice yields over time. However, the growth in yields for some of the subperiods is greater than for others. Our results of significant rice yield increase over time correspond with events such as the establishment of Louisiana's Foundation Seed Program, the release of the Magnolia rice cultivar, and increased mechanization.
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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 | 0.001 | 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