MétaCan
Menu
Back to cohort
Record W2918128097

The effect of sound on the growth of plants

2001· article· en· W2918128097 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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueCanadian acoustics · 2001
Typearticle
Languageen
FieldHealth Professions
TopicNoise Effects and Management
Canadian institutionsWestern University
Fundersnot available
KeywordsTranspirationPlant growthNoise (video)Sound (geography)Environmental scienceGrowth rateAgronomyHorticultureBotanyBiologyAcousticsMathematicsPhysics
DOInot available

Abstract

fetched live from OpenAlex

This project is intended to show how the rate of growth of two different plant species was affected by sounds of varying frequencies.Two plant species, beans and impatiens, were selected because of their rel atively fast growing rates.Ambient conditions were regulated by environmental chambers in which the plants were housed.One chamber was used as a control for the plants, and the plants in the other chambers were subjected to sounds of different frequencies at roughly the same sound intensity.Sounds of pure tones and random [wide band] noise were used.The changes in the growth of the plants were monitored every two days for twenty-eight days.Upon completion of the tests, it was observed that optimum plant growth occurred when the plant was exposed to pure tones in which the wavelength coincided with the average of major leaf dimensions.It is suggested that this was due to the "scrubbing" action of the traversing wave, causing air particle motion on the surface of the leaf; this movement removed the stagnant air layer adjacent to the leaf, thus increasing the transpiration of the plant.It was also noted that the plant growth was less when exposed to random noise. SOMMAIRECe project avait pour but de montrer comment le taux de croissance des deux espces de plantes tre influ par une varit d'ondes sonores.Les deux espces, des haricots et des impatiens, ont t choisis cause de leur croissance rapide.Les plantes furent places dans des sailles donc les conditions ambiantes taient rgles selon les critres environnmentales.Une salle servit de contrle pour les plantes.Dans les autres salles, les plantes furent exposes divers ondes sonores d'environnment la mme intensit.Des ondes sonores claires et croissant au hazard furent difuses.Les taux de croissance furent servi des prs.C'est dire, tout les deux jours jusqu' au visit-huitime jour.A la fin de ces tests, nous avons observ t la crois sance optimum a eu lieu dans les plantes exposes aux ondies sonores claires, et que la longeur des ces ondes coincidait avec la dimension moyenne des feuilles.On suggre que ceci s'est produit quand les ondes sonores ont "balay" les particules dans l 'air sur la surface de la feuille.Ce dplacement d'air stagnnat attenant la feille permet ensuite celle-ci d'augmenter la transpiration vgtale.Aussi, nous avons observ une baisse de croissance dans les plantes exposes aux ondes sonores choisies au hazard.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.634
Threshold uncertainty score0.993

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 head0.024
GPT teacher head0.326
Teacher spread0.301 · 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