Bibliographic record
Abstract
Perkebunan tebu Pusat Penelitian Agronomi (Puslitagro) Jatitujuh Majalengka merupakan salah satu perkebunan tebu yang menanam tebu jenis lahan kering. Gulma adalah masalah utama yang dihadapi pada budidaya tebu lahan kering. Kehadiran gulma akan mempersulit pemeliharaan dan panen serta menurunkan kualitas penebangan tebu, baik yang dilakukan secara manual maupun mekanik. Penelitian ini bertujuan untuk mengetahui komposisi dan keanekaragaman spesies gulma di daerah perkebunan tebu Puslitagro Jatitujuh Majalengka sebagai dasar dalam pengendalian gulma dan mengetahui faktor-faktor lingkungan abiotik di lapangan. Hasil penelitian menunjukkan bahwa, keanekaragaman spesies gulma di Perkebunan Tebu Pusitagro Jatitujuh Majalengka terdapat 46 spesies yang terdiri dari 16 famili. Kemerataan gulma tergolong tinggi, dari data yang didapat masing-masing area lebih dari satu. Area Kidang Kencana Timur (1,94) tergolong tinggi, area Kidang Kencana Tengah (1,89) tergolong tinggi, dan area Rancabugang (1,83) tergolong tinggi. Keanekaragaman spesies gulma tertinggi terdapat pada area Kidang Kencana Timur (3,15) dengan suhu udara 30°C, kelembaban tanah 75%, dan pH tanah netral (7,1).
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.439 | 0.321 |
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".