MétaCan
Menu
Back to cohort
Record W3024907020 · doi:10.1149/09707.0565ecst

In-situ Electrodeposition of Nickel on a Biocathode to Enhance Methane Production from Carbon Dioxide in a Microbial Electrosynthesis System

2020· article· en· W3024907020 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueECS Transactions · 2020
Typearticle
Languageen
FieldEnvironmental Science
TopicMicrobial Fuel Cells and Bioremediation
Canadian institutionsMcGill UniversityNational Research Council Canada
Fundersnot available
KeywordsElectrosynthesisNickelCathodeSalt (chemistry)MethaneCarbon dioxideCarbon fibersCatalysisChemistryDeposition (geology)In situInorganic chemistryChemical engineeringMaterials scienceElectrodeElectrochemistryOrganic chemistryGeology

Abstract

fetched live from OpenAlex

This study demonstrates the continuous conversion of CO 2 to CH 4 in a laboratory-scale Microbial Electrosynthesis System (MES). The introduction of a Ni salt at 0.2 g L -1 into the cathode influent stream improved the CO 2 conversion. After the introduction of the Ni salt at an applied voltage of 2.8 V, the MES with the carbon-felt cathode reached a CH 4 production of 422 ± 36 mL d -1 (0.81 L L c -1 d -1 ), which was 39 ± 12% higher than that of this system before the Ni salt was introduced. Additionally, when the dissolved Ni salt was removed from the influent solution, the MES performance remained unchanged, thus confirming the in-situ deposition of Ni on the carbon-felt cathode and its catalytic effect.

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 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 score0.006
Threshold uncertainty score0.548

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.007
GPT teacher head0.208
Teacher spread0.202 · 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