Restorasi Diesel Traktor Untuk Membantu Pertanian Padi di Wilayah Kebumen
Bibliographic record
Abstract
Sektor pertanian di wilayah Kebumen menyumbang >35,40% dalam pembentukan Produk Domestik Regional Bruto sehingga diperlukan teknologi untuk membantu sektor pertanian. Salah satu teknologi yang sering digunakan pada sektor pertanian adalah traktor. Kegiatan pengabdian masyarakat bertujuan untuk merestorasi traktor yang rusak diwilayah kebumen. Metode yang digunakana dalah perencanaan (observasi dan wawancara), pelaksanaan (pengamplasan, pengelasan, pengecatan, dan perbaikan mesin), dan evaluasi (uji fungsi). Hasil kegiatan: a) tahap perencanaan diperoleh informasi unit traktor yang mengalamikerusakan dan perijinan restorasi traktor di Desa Kelapasawit Kebumen, b) tahap pelaksanaan meliputi kegiatan pengamplasan, pengelasan, pengecatan, dan perbaikan mesin, c) tahap evaluasi diperoleh uji fungsi bahwa traktor berjalan sesuai dengan fungsinya dan dapar digunakan oleh masyarakat untuk membajak sawah
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.025 | 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".