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Record W2782687153 · doi:10.25047/j-dinamika.v2i2.563

IbKIK JAMUR TIRAM VARIETAS GREY OYSTER DALAM RANGKA PENGEMBANGAN SKIIL KEWIRAUSAHAAN MAHASISWA IKIP PGRI JEMBER

2018· article· id· W2782687153 on OpenAlexaff
Hasni Ummul Hasanah, Dwi Nur Rikhma Sari, David Kristian Susilo

Bibliographic record

VenueJ-Dinamika Jurnal Pengabdian Masyarakat · 2018
Typearticle
Languageid
FieldAgricultural and Biological Sciences
TopicAgriculture and Agroindustry Studies
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsOysterBiologyEcology

Abstract

fetched live from OpenAlex

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

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.247
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.002
Science and technology studies0.0030.001
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.006

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.

Opus teacher head0.026
GPT teacher head0.238
Teacher spread0.212 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2018
Admission routes1
Has abstractyes

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