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Record W4312840309 · doi:10.4236/jmp.2022.1311092

The Experimental Exploration and Discovery of DNA Communication between the Plants

2022· article· en· W4312840309 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.

fundA Canadian funder is recorded on the work.
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

VenueJournal of Modern Physics · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicFractal and DNA sequence analysis
Canadian institutionsnot available
FundersInstitute of GeneticsShenyang Agricultural UniversityChinese Academy of SciencesLiaoning Academy of Agricultural SciencesStrong
KeywordsVariation (astronomy)Information transferComputer scienceBiologyEnergy (signal processing)Genetic variationTransfer (computing)DNAExogenous DNAGeneticsTelecommunicationsGenePhysicsStatisticsMathematicsAstrophysics

Abstract

fetched live from OpenAlex

For the first time, through the invention of Compensating Bio-information Energy (CBE) technology and bioinformatics breeding machine, we have completed a number of experiments by using plant signals to transfer plant genetic traits in the same family or across families, and discovered the transfer phenomenon of life genetic information. The test results show that plants can change from random variation to controllable and directional variation, thus opening up plant asexual, no molecular transfer, fast and low-cost breeding. The new approach provides new evidence for the connection of information energy waves between plant DNA, which deserves the attention and in-depth study of the scientific community.

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 score0.020
Threshold uncertainty score0.147

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)0.0000.000

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 head0.023
GPT teacher head0.265
Teacher spread0.242 · 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