Tingkat Efesiensi Pakan dan Pertumbuhan Benih Ikan Bawal Bintang dengan Pemberian Dosis recombinant Growth Hormone (rGH) yang berbeda
Bibliographic record
Abstract
Penelitian ini bertujuan untuk mengetahui pengaruh rGH dan dosis rGH yangterbaik terhadap efesiensi pakan dan pertumbuhan benih ikan bawal bintang.Penelitian ini dilakukan pada bulan Mei 2017 selama 35 hari di Balai Benih IkanDesa Pengujan, Kabupaten Bintan Kepulauan Riau. Metode yang digunakan ialaheksperimental dengan Rancangan Acak Lengkap (RAL) dengan 3 perlakuan dan 3ulangan. Menggunakan analisis data dengan One-Way ANOVA menunjukkanbahwa hormon rGH memberi pengaruhnya terhadap benih ikan bawal bintangdengan dosis 6 mg/kg pakan dimana efesiensi pakan 72,06 % pertumbuhan bobottubuh akhir 12,47 g dan pertumbuhan bobot mutlak 9,78 g.
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.
How this classification was reachedexpand
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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 teacher head, 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".