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Record W4385730003

On-site treatment of urban organic waste using home composting bins

2010· preprint· en· W4385730003 on OpenAlexaff
Bijaya Adhikari, A. Trémier, José Martínez, Suzelle Barrington

Bibliographic record

VenueHAL (Le Centre pour la Communication Scientifique Directe) · 2010
Typepreprint
Languageen
FieldAgricultural and Biological Sciences
TopicComposting and Vermicomposting Techniques
Canadian institutionsMcGill University
Fundersnot available
KeywordsWaste managementBiodegradable wasteHousehold wasteUrban wasteMechanical biological treatmentWaste treatmentEnvironmental scienceMunicipal solid wasteWaste collectionEngineering
DOInot available

Abstract

fetched live from OpenAlex

In developed countries such as those of the european Union, stringent legislations for the recycling of urban organic waste (UOW) have forced municipalities to reconsider traditional practices and seek environmental solutions with a minimum economic impact. As an alternative to centralized composting or anaerobic digestion facilities increasing collection and management costs, the onsite-treatment of UOW using home composting methods (HC) can eliminate transportation and labour costs. Nevertheless, HC needs to be managed in such a way as to produce a sanitary product. This study evaluated the performance of four different HC as compared to a laboratory compost reactor with forced aeration. During the first two weeks of active composting for all four HC, temperatures exceeding 55ºC demonstrated an active microbial community likely stabilizing the waste and reducing its parasite and pathogen levels. After 150 days, the mature compost from all HC exhibited 15 to 20% moisture content except for that of the rotating metallic drum, which remained at 77% because of blocked ventilation ports.

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)0.002
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.034
Threshold uncertainty score0.929

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
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 head0.025
GPT teacher head0.232
Teacher spread0.207 · 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

Citations0
Published2010
Admission routes1
Has abstractyes

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