Perhitungan Alokasi Dana Bagi Hasil Pajak Rokok Pada Badan Pengelola Pendapatan Daerah Provinsi Jawa Tengah Triwulan Iv Tahun 2016
Bibliographic record
Abstract
The reseach aims to know determine the procedure for calculating the allocation of funds from cigarette tax revenues quarter IV to Regency / City of Central Java Province On Central Java Regional Income Management Board. Writing method used are the method of description and exposition. The calculation of the allocation of revenue sharing funds for tobacco tax quarter IV which is in use is the realization of 2016. The results of the calculating the allocation of funds from cigarette tax revenues quarter IV to Regency / City between of Central Java Province On Central Java Regional Income Management with regulation governer 67 in 2014 Show result different. Different because that the share of cigarette tax data the number of population used is the data of population in 2014, when it should be calculated with the data of the population in 2015.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.026 | 0.004 |
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".