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Record W3080224245 · doi:10.1186/s40538-020-00179-3

Role of biochar in promoting circular economy in the agriculture sector. Part 2: A review of the biochar roles in growing media, composting and as soil amendment

2020· review· en· W3080224245 on OpenAlex
Keiji Jindo, Miguel Á. Sánchez-Monedero, Giovanni Mastrolonardo, Yuki Audette, Fábio Satoshi Higashikawa, Carlos Alberto Silva, Kinya Akashi, Claudio Mondini

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

VenueChemical and Biological Technologies in Agriculture · 2020
Typereview
Languageen
FieldAgricultural and Biological Sciences
TopicComposting and Vermicomposting Techniques
Canadian institutionsUniversity of Guelph
FundersConselho Nacional de Desenvolvimento Científico e TecnológicoMinisterio de Ciencia, Innovación y Universidades
KeywordsBiocharAgricultureRaw materialSlash-and-charAmendmentEnvironmental scienceNatural resource economicsSoil qualityYield (engineering)Circular economyAgricultural engineeringPyrolysisAgroforestryAgronomyWaste managementEconomicsEngineeringSoil waterSoil scienceEcologyMaterials scienceBiology

Abstract

fetched live from OpenAlex

Abstract Biochar is utilized in modern society for multiple agricultural and environmental purposes in the framework of circular economy. The aims of this study were to review the leading edge of knowledge of studies where biochar was used in the agriculture sector, as an input for growing media, composting and to improve soil physical and chemical properties along with crop yield. Usage of biochar is promising as substitute for peat and in the composting as it reduces N losses, accelerates the process and improves the quality of final composts. The right selection of feedstock and optimization of pyrolysis conditions are key factors to tailor biochar thereby improving soil properties and increasing crop yield. Potential benefits and flaws for the usage of biochar technology in the agricultural domain are broadly reviewed and thoroughly discussed.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.597
Threshold uncertainty score0.695

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
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 head0.028
GPT teacher head0.243
Teacher spread0.214 · 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