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Review on Mechanical, Thermal and Morphological Characterization of Hemp Fiber Composite

2020· article· en· W3021692043 on OpenAlexaboutno aff
Divyansh Sankhla, Mihir Sancheti, M Ramachandran

Bibliographic record

VenueIOP Conference Series Materials Science and Engineering · 2020
Typearticle
Languageen
FieldMaterials Science
TopicNatural Fiber Reinforced Composites
Canadian institutionsnot available
Fundersnot available
KeywordsBast fibreCannabis sativaCannabisHashishFiberComposite materialMaterials scienceDifferential scanning calorimetryFlexural strengthPulp and paper industryTraditional medicineHorticultureEngineeringBiologyMedicinePhysics

Abstract

fetched live from OpenAlex

Abstract Hemp, (Cannabis sativa), also known as industrial hemp, a family plant of Cannabaceae cultivated for its fiber or edible seeds. Hemp is sometimes confused with cannabis plants that serve as sources of prescription weeds and preparation of hashish products. Although all three products— hemp, marijuana, and hashish — contain tetrahydrocannabinol (THC), a compound that induces psychoactive effects in humans, the cannabis variety grown for hemp has only small amounts of THC compared to that grown for marijuana or hashish growth. Bast fiber plants are distinguished by long slender primary fibers on the outer portion of the stem. Hemp grows in countries like Canada, USA, France, Hungary, Belgium, Holland, Thailand, Austria, Italy, China, and Philippine island, Russia, Mexico, Germany, West Indies and India. In this paper we analyze all these test on hemp Fibre- differential scanning Calorimetry test, scanning electron microscope test, tensile test, thermo gravimetric analysis and flexural test.

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.

How this classification was reachedexpand

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 score0.001
Threshold uncertainty score0.577

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 communication0.0000.001
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 head0.021
GPT teacher head0.227
Teacher spread0.205 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations4
Published2020
Admission routes1
Has abstractyes

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