SOUTHERN JOURNAL OF AGRICULTURAL ECONOMICS DECEMBER, 1979 REGIONAL ACREAGE RESPONSE BY QUARTER FOR FRESH TOMATOES: AN EXAMPLE OF THE USE OF MIXED ESTIMATION
Bibliographic record
Abstract
The study reported was motivated by a requires 11 separate acreage planted equa-USDA study to develop complete quarterly tions. models of supply and demand for a selected set of fresh salad vegetables. The acreage planted MODEL SPECIFICATION component enters recursively into both the acreage harvested and yield relations used in The model specification adopted for this many of these models. Consequently, predic- study is: tions of acreage planted are instrumental in predicting total supply and resulting market AP = APr (Pq, Rrt CPqt AP ut) equilibrium solutions. In modeling acreage planted over relevant where seasons within four regions, various sources of information can be brought to bear. Obviously, AP t = acreage of fresh tomatoes planted in data series on past plantings, costs, and prices region r in quarter q of year t provide the foundation of statistical
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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 | 0.005 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.017 | 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".