ANALISIS PENGARUH LUAS KEBUN, PRODUKSI DAN HARGA EKSPOR CENGKEH TERHADAP VOLUME EKSPOR CENGKEH JAWA TENGAH
Bibliographic record
Abstract
The purpose of this research to analyze relations between variable of the width of field plantation, production and pricing clove exports to the volume of exported cloves from central java .The method of analysis data used in the research is analysis multiple regression .The data used in the research are data time series quarter from year 2006- 2014 ( 9 years ) .The result showed that all three variables, the width of field plantation , production and pricing exports have simultaneously significant impact on the volume of exported cloves from central java.The width of field plantation and production have positive impact and significantly to the volume of exported cloves from central java while the price exports have negative impact and significantly to the volume of exports cloves central java
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How this classification was reachedexpand
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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; both teacher heads agree on what is shown here.
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".