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Record W4224981982 · doi:10.1139/cgj-2021-0295

Influence of bacterial suspension type on the strength of biocemented sand

2022· article· en· W4224981982 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

VenueCanadian Geotechnical Journal · 2022
Typearticle
Languageen
FieldEnvironmental Science
TopicMicrobial Applications in Construction Materials
Canadian institutionsnot available
Fundersnot available
KeywordsCementation (geology)Suspension (topology)Scanning electron microscopeCompressive strengthPrecipitationCarbonateFourier transform infrared spectroscopyMaterials scienceChemical engineeringMicrostructureMineralogyCementChemistryComposite materialMetallurgy

Abstract

fetched live from OpenAlex

Soil properties, the chemical composition of cementation solution, injection technique, and environmental conditions have all been extensively studied as variables influencing microbially induced carbonate precipitation performance. However, despite the fact that different researchers have used different bacterial suspensions, the influence of bacterial suspension type, more specifically some organic matters in bacterial suspensions, which can play a key role in the morphology and mechanical properties of CaCO 3 , has often been overlooked. In this study, the harvested bacterial solutions were centrifuged to separate bacterial cells and supernatant. The precipitated cells were then diluted with three distinct solutions: supernatant (RB), fresh culture medium (FB), and 0.9% NaCl solution (NB), which were subsequently utilized to stabilize the sand. The results indicated that the bacterial suspension type could greatly impact the strength of biocemented sand, particularly coarse and medium sand. Differences in unconfined compressive strength can be related to differences in precipitated CaCO 3 microstructures, morphologies, and compositions, which were examined using scanning electron microscopy, X-ray diffraction analysis, and Fourier transform infrared spectroscopy.

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 categoriesInsufficient payload (model declined to judge)
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 score0.535
Threshold uncertainty score0.979

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)0.0220.000

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 head0.010
GPT teacher head0.215
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