Fenologi Pembungaan Rhizophora mucronata Lamk. di Hutan Mangrove Pasuruan, Jawa Timur
Bibliographic record
Abstract
Rhizophora mucronata Lamk. merupakan jenis tanaman mangrove yang dikembangkan untuk program rehabilitasi areal pantai utara Pulau Jawa. Informasi mengenai produksi propagula R. mucronata menjadi penting agar kebutuhan buah tercukupi. Penelitian ini ditujukan untuk mengetahui fenologi pembungaan dan pembuahan R. mucronata di areal sumber benih teridentifikasi Dusun Pesisir, Pasuruan, Jawa Timur. Fenologi pembungaan, pembuahan, dan produksi propagula diamati pada tiga sampel pohon per petak ukur. Produksi propagula diamati dengan membuat petak ukur 5 x 5 m, dengan jarak antar petak ukur 100 m; yang dibedakan antara petak ukur di tepi pantai dan di tepi daratan. Total petak ukur yang diamati ada sebanyak sepuluh petak ukur. Pengambilan data diameter, tinggi total dan produksi propagula dilakukan untuk semua pohon dalam petak ukur. Hasil penelitian menunjukkan bahwa R. mucronata berbunga selama pengamatan (Januari-April), dengan pembungaan yang tidak serempak dalam satu pohon. Siklus reproduksi memerlukan waktu 15-16 bulan mulai dari terbentuknya tunas sampai masaknya propagula; dengan puncak pembungaan terjadi pada bulan Maret-April dan musim berbuah pada bulan Agustus. Propagula mencapai tingkat masak siap dipanen pada bulan Desember-Januari.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".