PERBEDAAN KADAR KOLINESTERASE ANTARA PEMAKAI INSEKTISIDA PADA PETANI PALAWIJA DENGAN PEMAKAI HERBISIDA PADA PETANI PENANAM KOPI REJANG LEBONG, CURUP, BENGKULU
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Tujuan penelitian ini adalah untuk mengetahui adanya perbedaan kadar kolineterase antara pemakai insektisida pada petani palawija di Desa Sember Urip Kecamatan Selupu Rajang dengan pemakai herbisida pada petani penanam kopi di desa Tunas Harapan Kecamatan Curup Kabupaten Rejang Lebong Curup Bengkulu. \n \nPenelitian ini adalah penelitian explanatory dengan metode survei danpendekatan cross sectional. Populasi penelitian adalah semua petani yang ada di Desa Sumber Urip dan Desa Tunas Harapan. Sample ditentukan secara purposive sample dengan criteria: Janis kelamin laki-laki, kontak terakhir dengan pestisida masksimal 2 minggu, menyemprot dengan pestisida golongan organofospat dan karbamat. Status kesehatan, responden tidak sedanga menderita penyakit hepatitis, abses dan kanker hati. Didaptakn sample sebanyak 26 petani. \n \nDari hasil penelitian diperoleh: tidak ada perbedaan antara responden yang terpapar insektisida dengan responden yang terpapar herbisida (t hitung \n \n \n \nKata Kunci: insektisida, herbisida, dan kolinesterase
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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