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Record W2509026557

Propagation characteristics of leaves using ultrasonic transmission waves

2000· article· en· W2509026557 on OpenAlex
Mikio Fukuhara, T. Degawa, L. Okushima, Tomoo Homma

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

VenueAcoustics letters · 2000
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture, Soil, Plant Science
Canadian institutionsHatch (Canada)
Fundersnot available
KeywordsMaterials scienceUltrasonic sensorAttenuationAgarPhase (matter)Attenuation coefficientComposite materialOpticsAcousticsChemistryPhysics
DOInot available

Abstract

fetched live from OpenAlex

Five kinds of leaves and agar sheets (as an imitation of leaves) suspended in water were characterized nondestructively using ultrasonic transmission analysis of longitudinal ultrasonic waves. The wave patterns of morning glory, persimmon, hydrangea, fragrant olive and tea were found to be simple compared with those of artificial solids. As the thickness of tea leaves increases, the phase velocity increases and attenuation coefficient, frequency and phase decrease. In contrast, the phase velocity of agar sheets decreases with increasing thickness and content of agar. This shows that acoustic properties of leaves cannot be interpreted by their agar component alone.

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 score0.879
Threshold uncertainty score0.211

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 head0.013
GPT teacher head0.199
Teacher spread0.186 · 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