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Record W2389300090

Study on the Breeding Technology of Improving Grafting Seedlings Quality of Camellia oleifera

2010· article· en· W2389300090 on OpenAlexvenueno aff
Yusong Jiang

Bibliographic record

VenueSeed · 2010
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgronomic Practices and Intercropping Systems
Canadian institutionsnot available
Fundersnot available
KeywordsCamellia oleiferaSawdustHorticultureGraftingCamelliaRootstockBiologyBotanyMathematicsChemistry
DOInot available

Abstract

fetched live from OpenAlex

According to the random block design to analyse and compare the experimental effect of grafting seedlings quality of Camellia oleifera with different rootstock and substrate from factorization cultivation.The results showed that: the quality of grafting seedlings with plumule was better than that of radicel.And the sur-vival rate of seedlings was higher either,the root system growth was complete,vigorous and healthy.The utiliza-tion of well-rotted sawdust and the moist soil could improve traditional substrates of Camellia oleifera improved varieties in industrialized production by asexual reproduction.Well-rotted sawdust and the moist soil could pro-vide good growth environment for the complete growth of Camellia oleifera seedlings root system.The best graft-ing combination was plumule + moist soil + well-rotted sawdust in the experiment,the input to output ratio reached to 1∶ 2.80.

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 score0.794
Threshold uncertainty score0.395

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.046
GPT teacher head0.275
Teacher spread0.229 · 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
Published2010
Admission routes1
Has abstractyes

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