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Record W4394884395 · doi:10.1002/ppap.202400015

The effect of cold plasma seed treatments on nodulation and plant growth in pea (<i>Pisum sativum</i>) and lentil (<i>Lens culinaris</i>)

2024· article· en· W4394884395 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.

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

Bibliographic record

VenuePlasma Processes and Polymers · 2024
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicLegume Nitrogen Fixing Symbiosis
Canadian institutionsUniversity of SaskatchewanUniversity of Alberta
Fundersnot available
KeywordsSativumPisumBiologyLens (geology)HorticultureBotany

Abstract

fetched live from OpenAlex

Abstract Cold plasma enhances various biological processes in plants. This study assessed the impact of cold plasma seed treatments on nodulation, root, and shoot growth in pea and lentil under controlled environmental conditions. Seeds were treated with cold plasma generated by a dielectric barrier discharge (DBD) and a pin electrode reactor (PER), with three different exposure durations (3, 6, and 12 min). At 4 weeks, notable enhancements were observed in nodule number and dry weight, root dry weight, length, volume, surface area, and shoot dry weight. The 3‐ and 6‐min exposure using the DBD and the 3‐min exposure using the PER system demonstrated the most significant increases or upward trends in these traits, highlighting the intricate nature of seed–plasma interactions.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.585
Threshold uncertainty score0.259

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 head0.007
GPT teacher head0.202
Teacher spread0.195 · 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