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Record W2978232901

The Selection of Inhibitors Combination to Inhibit Pre-harvest Sprouting In Rice and Study on Eletrophoretic Analysis

2008· article· en· W2978232901 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

VenueSeed · 2008
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMagnetic and Electromagnetic Effects
Canadian institutionsnot available
Fundersnot available
KeywordsGerminationSproutingAmylaseChemistryHorticultureBiologyEnzymeBiochemistry
DOInot available

Abstract

fetched live from OpenAlex

Quadratic orthogonal regressive rotation design of three factors was applied to study the effect of MH、PP333、S-07 on seed germination and Eletrophoretic Analysis of inhibitors to inhibit amylase. The result showed that the effect of inhibitor on seed germination is MHS-07PP333.The best combination is as following MH 9.55 mg/L+ PP333 95.46 mg/L+ S-07 1 104.54 mg/L.In theory, the percent of ungerminated seed is 62% by the inhibitor combination treatment, that is highly more than ck.The band of Amylase in seed of G 46 A and D 62 A is same as that of ck by the inhibitor combination treatment in mature stage; whereas the inhibitor combination is effective to inhibit seed spayed GA germinated. The band of Amylase in geminated seed is not inhibited by the inhibitor combination .so the mechanism of the inhibitor combination inhibiting the seed germination may be inhibit the synthesis of the band of Amylase to inhibit or delay the seed germination.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.546
Threshold uncertainty score0.300

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 science0.0000.000
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 head0.004
GPT teacher head0.226
Teacher spread0.222 · 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