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Record W4384557736 · doi:10.31219/osf.io/u6dza

Pupuk Hayati dan Limbah Jerami untuk Pertanian Berkelanjutan Tanaman Padi

2023· preprint· id· W4384557736 on OpenAlexaff
Nana Danapriatna

Bibliographic record

Venuenot available
Typepreprint
Languageid
FieldAgricultural and Biological Sciences
TopicPlant Growth and Agriculture Techniques
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsHorticulturePhysicsBiology

Abstract

fetched live from OpenAlex

Buku ini menguraikan proses penjaringan bakteri penambat nitrogen (Azotobacter sp. dan Azospirillum sp.) dari ekosistem lahan sawah, serta hasil penelitian rumah kaca dan lapangan yang melibatkan inokulasi pupuk hayati dan pemberian kompos jerami padi. Hasil penelitian menunjukkan peningkatan kepadatan bakteri penambat nitrogen (N2), kandungan nutrisi tanah, dan konsentrasi nitrogen pada tanaman padi sawah. Selain itu, aplikasi pupuk hayati dan kompos jerami juga meningkatkan respirasi tanah, kandungan bahan organik tanah, dan hasil panen padi pada berbagai takaran pupuk nitrogen yang diberikan. Buku ini diharapkan dapat memberikan wawasan dan pemahaman yang lebih dalam mengenai penggunaan pupuk hayati dan kompos jerami dalam konteks pemulihan kesehatan tanah dan peningkatan produktivitas tanaman padi sawah. Penulis berharap buku ini dapat menjadi sumber inspirasi dan panduan bagi para petani, peneliti, dan pihak-pihak yang tertarik denggan pertanian berkelanjutan.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.002

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.

Opus teacher head0.036
GPT teacher head0.232
Teacher spread0.196 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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
Published2023
Admission routes1
Has abstractyes

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