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Record W4295918112 · doi:10.1039/d2tc02458f

Ion-imprinted MnO<sub>2</sub>/CoFe<sub>2</sub>O<sub>4</sub> Janus magnetic micromotors synthesized by a lotus pollen template for highly selective recognition and capture of Pb(<scp>ii</scp>) ions

2022· article· en· W4295918112 on OpenAlexaff
Yang Han, Yangsai Lyu, Ningning Xing, Xiaolei Zhang, Kaiyuan Hu, Hui Luo, Dickon H. L. Ng, Jia Li

Bibliographic record

VenueJournal of Materials Chemistry C · 2022
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMicro and Nano Robotics
Canadian institutionsQueen's University
FundersNatural Science Foundation of Shandong ProvinceData Center of Management Science, National Natural Science Foundation of China - Peking UniversityUniversity of JinanJinan Science and Technology Bureau
KeywordsMaterials scienceJanusLotusFabricationIonMetal ions in aqueous solutionChemical engineeringNanotechnologyMetalMetallurgyOrganic chemistry

Abstract

fetched live from OpenAlex

A new strategy for the design and fabrication of a biomass-based micromotor for highly selective removal of metal contaminating ions from water.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.005
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.007
GPT teacher head0.194
Teacher spread0.187 · 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.

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

Citations8
Published2022
Admission routes1
Has abstractyes

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