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Record W3036009152 · doi:10.5539/jas.v12n7p163

Heavy Metals Interaction in Soil-Plant System of Carmagnola cannabis Strain

2020· article· en· W3036009152 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.

venuePublished in a venue whose home country is Canada.
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 Agricultural Science · 2020
Typearticle
Languageen
FieldChemistry
TopicHeavy Metals in Plants
Canadian institutionsnot available
Fundersnot available
KeywordsEnvironmental chemistryCadmiumArsenicSoil testSoil waterChemistryTopsoilBariumOrganic matterEnvironmental scienceSoil science

Abstract

fetched live from OpenAlex

Evolution in the legislation of Cannabis in Lebanon regarding production and consumption of related products for medicinal and recreational uses is leading to emerging regulations regarding the potency and cannabinoid profiles. On 21 April 2020, the Parliament passed a law legalizing cannabis cultivation for medical use. The objective of this work was to estimate the heavy metals accumulation in the soil-plant system and to help the governmental regulatory body on having also into account the impurities of metals within their rules of regulation. The impurity content of hyperaccumulating metals (zinc, chromium, arsenic, manganese, cadmium, barium, aluminum, iron, cobalt, nickel, copper and lead) was evaluated by inductively coupled plasma atomic emission spectrometry (ICP-OES) taking into account the pseudototal and mobilizable concentrations of the elements in the rhizosphere of plants and the total concentrations of their aerial parts and spikes from allotments in Kropia region-Athens, Greece. The main physicochemical assets of topsoil samples such as pH (7.99±0.05) and organic matter content (rich), the X-ray crystallography test (basically quartz, albite and vermiculite) and soil texture determination test (basically sandy loam soil) were also determined. The concentrations of most of our studied elements in soil plant system samples were recorded below or around the plant reference material concentrations used in our analysis. Results showed also that Al was highly toxic in soil and plant samples. In the plant samples, the arsenic was nearly absent and the lead, nickel, copper, chromium and cadmium contents were less than those found in the plant reference material. In the soil samples, only copper and zinc concentrations were found to be within the accepted ranges. The maximum transfer factor is found in lead (Tf – Pb = 0.8223). Average transfer factor of elemental concentrations showed that heavy metals were not easily translocated in the soil-plant system (0.0514±0.0032). In addition, hemp plants that are considered as "hyper-accumulators" showed very acceptable results for industrial and other uses.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.039
Threshold uncertainty score0.298

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.025
GPT teacher head0.266
Teacher spread0.241 · 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