IbKIK JAMUR TIRAM VARIETAS GREY OYSTER DALAM RANGKA PENGEMBANGAN SKIIL KEWIRAUSAHAAN MAHASISWA IKIP PGRI JEMBER
Bibliographic record
Abstract
Jamur tiram varietas grey oyster yang sedang dikembangkan di IKIP PGRI Jember merupakan salah satu jamur tiram hibrida yang diperoleh dari rekayasa kultur jaringan dengan persilangan secara fusi protoplasma antara jamur tiram putih (Pleurotus ostreatus) dan jamur tiram cokelat (Pleurotus cystidiosus) dan memiliki prospek kedepan yang sangat baik untuk dikembangkan, dapat memberikan banyak manfaat serta memiliki dampak positif baik bagi IKIP sendiri maupun masyarakat luas. Model usaha jamur tiram putih yang dijalankan oleh Unit IbIKK pada tahun pertama masih bertumpu pada persilangan vareietas jamur tiram, produksi baglog serta difersivikssi produk dari jamur tiram, namun untuk tahun kedua dan ketiga akan lebih bervariasi, yaitu produksi jamur varietas baru hasil persilangan secara masal, penjualan baglog, jasa paket kemitraan investasi usaha tani jamur tiram, dan budidaya jamur tiram dengan sistem kemitraan. Usaha ini juga telah menjadi sarana pembelajaran mahasiswa, dan Dosen di wilayah IKIP PGRI Jember. Keywords— Jamur Tiram varietas Grey Oyster, Kewirausahaan, skill
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 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".