COMPARING FORECASTING METHOD IN THE DREAM CARD MALANG COMPANY USING FORECASTING SEASONAL FORECASTING METHODS
Why this work is in the frame
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Bibliographic record
Abstract
This paper examines the aspects of forecasting method of production that are efficient and effective within a book industrial. The purposes of the paper are to searching and comparing the forecasting analysis methods of production on Dream Card Factory Malang which included in a book industry along with analyzing the factors which influence production in the company. Qualitative data were acquired where-by interviews with the owner of the Dream Card Company Malang or with workers from production sector of the company. Quantitative data were acquired by observing the result of annual production report or quarter production report on the Dream Card Company Malang. The contribution of this paper offers is compatible forecasting method for the Dream Card Company. Keywords – Annual, Compatible, Forecasting Method, Influence, Quarter
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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 | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 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