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Record W2393169330

Effects of Different Patterns of Sugarcane Leaf Returning Field on Soil Moisture and Sugarcane Yield

2010· article· en· W2393169330 on OpenAlex
Shaochun Liu

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSugarcane Cultivation and Processing
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsSeedlingAgronomyYield (engineering)Water contentMoistureField experimentCaneDry landEnvironmental scienceSignificant differenceBiologyMathematicsSugarGeography
DOInot available

Abstract

fetched live from OpenAlex

The experiment of different patterns of sugarcane leaf returning field was conducted to test effect on soil moisture and sugarcane yield of dry land.The results showed that the sugarcane yield under different patterns of sugarcane leaf returning field was not reached significant different.There was a significant difference(P0.01) between the sugarcane trash burning and the total seedling of sugarcane leaf returning to whole field(SLRW) as well as to alternative row(SLRA),and there was a significant difference(P 0.05) between the sugarcane trash burning and the millable stalks.There were better effects of the both ratoon SLRW and SLRA in the period of seedling and mature on maintaining soil moisture.There were better effects of different sugarcane leaf returning field patterns on maintaining soil moisture of inter-row in sugarcane growing season.

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 score0.304
Threshold uncertainty score0.644

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 head0.011
GPT teacher head0.212
Teacher spread0.200 · 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

Quick stats

Citations1
Published2010
Admission routes1
Has abstractyes

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