JENIS-JENIS MAMALIA YANG MENGUNJUNGI KUBANGAN BABI HUTAN DI KAWASAN HUTAN KONSERVASI PT TIDAR KERINCI AGUNG DAN PT KENCANA SAWIT INDONESIA, SOLOK SELATAN, INDONESIA
Bibliographic record
Abstract
Penelitian mengenai jenis-jenis mamalia yang mengunjungi kubangan babi hutan di hutan konservasi PT Tidar Kerinci Agung dan PT Kencana Sawit Indonesia, Solok Selatan, Sumatera Barat telah dilaksanakan dari 15 Juni sampai dengan 8 Desember 2015. Penelitian dilakukan dengan pemasangan tujuh buah perangkap kamera di sekitar kubangan babi hutan. Selama penelitian didapatkan 18 jenis hewan mamalia dari 12 famili dan 5 ordo. Hewan mamalia yang sering mengunjungi kubangan babi hutan yaitu Sus scrofa (481 foto), Macaca nemestrina (476 foto), Sus barbatus (269 foto), Macaca fascicularis (38 foto) dan Muntiacus muntjak (33 foto). Penelitian ini menunjukkan bahwa kubangan babi hutan menarik bermacam-macam jenis mamalia dengan frekuensi kunjungan yang berbeda-beda.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.016 | 0.003 |
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".