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Record W4220844049 · doi:10.18280/ijdne.170116

Yield Potential of Shallots Bulbil Planting Materials with Liquid Organic Fertilizer Treatment out of Season

2022· article· en· W4220844049 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueInternational Journal of Design & Nature and Ecodynamics · 2022
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicShallot Cultivation and Analysis
Canadian institutionsnot available
FundersUniversitas Sebelas Maret
KeywordsSowingBulbFertilizerRandomized block designYield (engineering)Organic fertilizerAgronomyMathematicsHorticultureBiologyMaterials science

Abstract

fetched live from OpenAlex

The main problem with shallots in Indonesia is planting material. The use of consumption tubers as planting material is very high. Efforts are needed to replace consumption tuber planting material with other planting materials such as aerial tubers. This study examines the potential yield of aerial tuber planting material and consumption tuber with fertilization treatment. The study used a Completely Randomized Block Design with a split-plot pattern with two factors, namely: fertilizer (as the main plot) with two levels, namely: with liquid and chemical fertilizer. Types of planting material (as a subplot) with three levels, namely aerial tubers, large consumption tubers (1.93-2.05 cm) and small consumption tubers (1.04-1.29 cm). Repeat three times. Liquid organic fertilizer can be used to improve the chemical quality of the soil. The combination of bulbils planting material with chemical fertilizer resulted in the highest fresh weight of bulbs per plot and dry weight of bulbs per plot, namely 394.67 grams and 338.67 grams, respectively. However, the highest number of bulbs planted in the treatment of large consumption bulbs was 7 bulbs. The diameter of bulbs produced from bulbils planting material and bulb consumption was the same. Shallot bulbs have potential as planting material.

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.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.251
Threshold uncertainty score0.575

Codex and Gemma teacher scores by category

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

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 head0.017
GPT teacher head0.231
Teacher spread0.214 · 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