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Record W3135763705 · doi:10.22146/jpti.42159

Weed Seed Species Inventory of Wheat Imported through Tanjung Perak Port

2020· article· en· W3135763705 on OpenAlexaboutno aff
Ulya Wildaniyah, Rahma Susila Handayani

Bibliographic record

VenueJurnal Perlindungan Tanaman Indonesia · 2020
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicGABA and Rice Research
Canadian institutionsnot available
Fundersnot available
KeywordsWeedAvena fatuaBiologyAgronomyPoaceae

Abstract

fetched live from OpenAlex

Wheat seeds importation has the potential of weed seeds that can harm Indonesia's biodiversity. This study aims to determine the types and morphological characters of weed seeds carried by imported wheat from Australia, Canada, and Ukraine through the port of Tanjung Perak-Surabaya for January-June 2018. The research was started by collecting weed seeds from wheat samples, observing using a SMZ 1270 stereo microscope and identifying them using a reference book. The weed seeds were successfully identified as 13 families with 20 species originating from Australia, Canada and Ukraine. The most common types of weeds are from the Poaceae family. Weed this family are often found in the form of florets, the seeds of which are called caryopsis are coated in lema and palea, as in grains. Weed seed species found in wheat commodities from the three countries, are: Avena fatua, Brassica campestris, and Polygonum convolvulus, are not classified as quarantine pest.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.793
Threshold uncertainty score0.476

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.050
GPT teacher head0.255
Teacher spread0.205 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations2
Published2020
Admission routes1
Has abstractyes

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