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Record W2755386967

Workshop On Biological and Genetic Control Of The Leucaena PSSYLD (Hawaii, 3 - 7 November 1986)

2017· article· en· W2755386967 on OpenAlexaboutno aff
M. Soeharjan, Ida Nyoman Oka

Bibliographic record

VenueBuletin Penelitian Tanaman Rempah dan Obat · 2017
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Growth and Agriculture Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesForestryPolitical scienceGeographyArt
DOInot available

Abstract

fetched live from OpenAlex

Lokakarya diselenggarakan oleh “nitrogen Fixing Three Association” (NFTA) dan Winrock International. Peserta lokakarya adalah peneliti dan atau pejabat dari Amerika Serikat, Australia, Canada, Filipina, India, Indonesia, Malaysia, Muangthai, Tonga, Puerto Rico, Samoa dan Thaiwan, yaitu Negara-negara yang mengalami musibah serangan kutu loncat lamtoro. Peserta dari Indonesia yang paling banyak jumlahnya, yaitu 2 orang dari badan Litbang, 2 orang dari Direktorat Jenderal perkebunan dan 6 orang dari NTT. Tujuan lokakarya adalah untuk menghimpun, mereview dan menganalisis informasi tentang serangan Heteropsylla di Asia dan Pasifik. Dari pembahasan informasi dirumuskan cara mengatasi dan strategi penelitiannya. Pada dasarnya Lokakarya bertujuan membahas pengendalian Heteropsylla secara biologi dan genetic dari sudut pandang ilmu dan kebijaksanaan. Sehubungan dengan itu, tulisan ini menyajikan aspek pengendalian biologis, pengendalian genetic dan kebijaksanaan dalam rangka pengendalian hama kutu loncat lamtoro.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.034
Threshold uncertainty score0.114

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0340.007

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 head0.021
GPT teacher head0.219
Teacher spread0.198 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2017
Admission routes1
Has abstractyes

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