Kelimpahan dan Indeks Ekologis Perifiton di Sungai Bone Kabupaten Bone Bolango Gorontalo
Bibliographic record
Abstract
Perifiton merupakan organisme yang hidup menempel pada substrat alam iseperti batu. Tujuan dari penelitian ini yaitu untuk mengetahui kelimpahan perifiton di Sungai Bone Kabupaten Bone Bolango. Penelitian ini dilakukan di dua stasiun yakni di Desa Panggulo Kecamatan Suwawa Timur dan Desa Tolomato Kecamatan Suwawa Tengah Kabupaten Bone Bolango. Hasil penelitian menunjukkan bahwa di Sungai Bone ditemukan 23 genus yang terdiri dari 8 kelas. Kelimpahan relatif perifiton yang tertinggi yaitu dari kelas Bacillariophyceae sebesar 33%. Indeks keanekaragaman perifiton di Stasiun 1 berkisar 1,80-1,90 dan pada Stasiun 2 berkisar 1,81-1,99. Indeks keseragaman perifiton di Stasiun 1 berkisar 0,70-0,75 dan di Stasiun 2 berkisar 0,86-0,93. Indeks dominansi hampir tidak ada individu yang mendominasi.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.012 | 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 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".