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Record W2386134044

The influence of fertilizer to the yield of Medicago sative L.

2007· article· en· W2386134044 on OpenAlexaboutno aff
Gang Cun-wu

Bibliographic record

VenueGanhan diqu nongye yanjiu · 2007
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental and Agricultural Sciences
Canadian institutionsnot available
Fundersnot available
KeywordsPhosphorusMedicagoPotassiumNitrogenChemistryAgronomyYield (engineering)FertilizerSulfurAnimal scienceMaterials scienceBiology
DOInot available

Abstract

fetched live from OpenAlex

The 4 factors and quadratic general rotary unitized design molybdenum trial are carried out at Changning area of Datong county to find out the effect of nitrogen,phosphorus,potassium and sulphur on Medicago sative L..The result showed that,as the increasing of nitrogen,phosphorus,potassium dosage,the yield of Medicago sative L.increases at first and then decreases.The best fertilizer combination is urea 225 kg/hm2,calcium super phosphate 675 kg/hm2,Canadian potassium 225 kg/hm2,suphur 15 kg/hm2.At lower nitrogen soil,the Medicago sative L.yield increases as the increasing of phosphorus dosage,but it increase at first and then decrease as the increasing of potassium;at higher phosphors soil,there is not any obviously change as nitrogen increasing,it increases as potassium increasing.At higher phosphors soil,the yield don't change obviously as nitrogen increasing,while the combination of nitrogen and phosphorus fixed at certain level,the yield of Medicago sative L.increases at first and then decreases as another fertilizer factor increasing;at lower phosphorus soil,the yield of Medicago sative L.increases at first and then decreases as sulphur increasing,at higher phosphorus,the phosphorus increases gradually as sulphur increasing.

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)0.001
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 score0.697
Threshold uncertainty score0.503

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.006
GPT teacher head0.209
Teacher spread0.204 · 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

Citations0
Published2007
Admission routes1
Has abstractyes

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